SlideShare a Scribd company logo
1 of 13
Download to read offline
Review
10.1586/17434440.2.1.xxx © 2005 Future Drugs Ltd. ISSN 1743-4440 1
CONTENTS
Blindness & mobility defined
AHV technology
& requirements
Cortical stimulation
Retinal stimulation
Optic nerve devices
AHV simulation studies
Expert opinion
Five-year view
Information resources
Key issues
References
Affiliation
www.future-drugs.com
Artificial human vision
Jason Dowling
Queensland University of
Technology, School of Electrical and
Electronic Systems Engineering,
Faculty of Built Environment and
Engineering,, Brisbane, Australia
Tel: +617 3864 1608
Fax: +617 3864 1516
j.dowling@qut.edu.au
KEYWORDS:
artificial human vision, bionic
eye, blind mobility, cortical
stimulation, epiretinal
stimulation, subretinal
stimulation, visual prosthesis
Can vision be restored to the blind? As early as 1929 it was discovered that stimulating the
visual cortex of an individual led to the perception of spots of light, known as phosphenes
[1]. The aim of artificial human vision systems is to attempt to utilize the perception of
phosphenes to provide a useful substitute for normal vision. Currently, four locations for
electrical stimulation are being investigated; behind the retina (subretinal), in front of the
retina (epiretinal), the optic nerve and the visual cortex (using intra- and surface
electrodes). This review discusses artificial human vision technology and requirements and
reviews the current development projects.
Expert Rev. Med. Devices 2(1), xxx–xxx (2005)
Blindness & mobility defined
Blindness
In 1997 the World Health Organization esti-
mated that there were close to 150 million indi-
viduals with significant visual disability (or
legally blind) worldwide, with 38 million of
those totally blind (without light perception) [2].
In economically developed societies, the lead-
ing cause of blindness and visual disability in
adults is diabetic retinopathy. The most com-
mon nonpreventable cause of blindness in the
developed world is age- related macular degen-
eration, which occurs in 25% of individuals
80 years of age and over [3]. Retinitis pigmen-
tosa (RP) is a condition characterized by a grad-
ual loss of the visual field, leading to the loss of
peripheral vision and eventually to blindness.
Approximately 90% of blind people live in the
developing world. In general, more than two-
thirds of today’s blindness could be prevented or
treated by applying existing knowledge and tech-
nology [4]. Nearly half of all blindness is due to
cataract and a quarter of the world’s blindness is
due to trachoma. Other major causes of blind-
ness are glaucoma (a group of eye diseases char-
acterized by an increase in intraocular pressure),
trachoma and onchocerciasis (both parasitic dis-
eases) and xerophthalmia (caused by vitamin A
deficiency) [5].
It has been estimated that if all avoidable
blindness in the USA in individuals under
the age of 20 and working-age adults were
prevented, the federal budget would save
US$1 billion per year [6].
Blind mobility
Blind mobility is affected by physical and
mental health factors, such as multiple disa-
bilities. Age is a mobility issue as many of the
blind are elderly, which can restrict their abil-
ity to use some mobility aids (such as a guide
dog). Many congenitally blind children have
hypotonia or abnormally low muscle tone
(due to delayed sensorimotor development)
which can affect mobility [7]. An additional
problem, experienced by most blind patients
without light perception, is falling out of
phase with the 24 h day which often leads to
severe sleep disorders.
In 1996, The US National Research Council
published the following summary of blind
pedestrian needs in 1996 [8]:
• Detection of obstacles in the travel path
from ground level to head height for the full
body width
• Travel surface information
• Detection of objects bordering the travel path
• Distant object and cardinal direction
information
• Landmark location and identification
information
• Information enabling self-familiarization
and mental mapping of an environment
Dowling
2 Expert Rev. Med. Devices 2(1), (2005)
Most existing mobility aids for the blind provide information
in either tactile or auditory form. The two most widely used
devices are the long cane and the guide dog, however, these
devices have limitations; the long cane is only effective over a
short range and a guide dog requires expensive training and
maintenance. A number of electronic travel aids (ETAs) have
also been developed, generally using ultrasound or lasers.
These devices have usually failed commercially due to their
expense, lack of benefit in improved mobility and cosmetic
unattractiveness [9]. The objective assessment of technical aids
for the blind (e.g., using Percentage of Preferred Walking
Speed [10]) could provide useful information during device
development and for consumers.
AHV technology & requirements
The development of an artificial human vision (AHV) system is
a multidisciplinary field, involving inputs from neuroscience,
engineering, computer science and ophthalmology, in addition
to orientation and mobility specialists.
With the exception of subretinal prostheses, most AHV sys-
tems have similar system requirements. The main components,
which will need to function in real time, are:
• A Camera – required to capture and digitize image informa-
tion from the environment. Charged Coupled Device
(CCD)-based digital cameras are inexpensive, small and can
be easily interfaced to other system components. An adaptive
mechanism (such as an automatic gain in current video cam-
eras) will also be required to allow the device to function at
different levels of illumination [11]. CCD camera sensors have
a linear response to light intensity. A logarithmic camera has
a similar response to the human visual system and can reduce
saturation in high contrast visual scenes. The use of a loga-
rithmic camera in an AHV is being investigated in at least
one current research project [12].
• Image processing – there will be more data retrieved from the
camera than can be used in an AHV device. The image data
will usually be preprocessed to reduce noise. After this, an
information reduction (such as edge detection or segmenta-
tion) or a scene understanding approach, attempting to
extract information, can be used. Cortical prosthesis research
by the Dobelle Institute (Portugal) has found that edge detec-
tion and image reversal enhance the ability of subjects to rec-
ognize important scene components (such as doorways) [13].
An alternate, and alternative, approach to traditional image
processing is the use of neuromorphic vision systems,
designed to mimic the design of the human visual system [14].
• Transmitter/receiver – a link is required from the cam-
era/image processing components to the stimulator and elec-
trode array, which are usually located inside the body. Percuta-
neous connections have been used for most research due to
their simplicity and reliability [15], however, the risk of chronic
infection is higher with this type of connection. The Dobelle
Institute system uses a percutateous connecting pedestal for
connection to the image processing unit (a notebook PC). A
transcutaneous connection, as used in cochlear implants, uses
radiofrequency telemetry to send data and power to the
embedded stimulator, reducing the risk of infection. Most
AHV research projects plan to eventually use transcutaneous
connections. Reverse telemetry can also be used to provide
details of stimulation voltage waveforms, impedance measure-
ments and reconstruction of stimulation voltage waveforms
[16]. A good description of a high efficiency transcutaneous
data link for implanted electronic devices is provided by
Troyke and Schwan [17].
• Stimulator/electrodes – an electrode is a thin wire, which
allows a small amount of precisely controlled electrical cur-
rent to pass through it. Electrodes can be used for either
stimulation or recording the electrical activity of the brain.
The purpose of the stimulator is to send current through
multiple electrodes. There are two main types of electrodes
discussed in the AHV literature; surface electrodes, which lie
flat against the stimulation/recording target and penetrating
electrodes, which are inserted inside the stimulation/record-
ing target. The biocompatability, long-term effectiveness
and safe threshold levels for implanted electrodes need to be
carefully considered.
Cortical stimulation
In the functioning human vision system, two types of photore-
ceptors in the retina (rods and cones) are activated by light,
which has been focused by the lens and cornea in the eye. Elec-
trical signals from these photoreceptors are then processed
through a layer of bipolar and ganglion cells within the retina,
before passing to the optic nerve [18]. The amount of informa-
tion entering the eye is reduced considerably - there are over 120
million photoreceptors and only about 1 million ganglion cells
[19]. Most of the signals from the optic nerve pass through the
lateral geniculate body to the visual cortex, although, approxi-
mately 20–30% of fibers connect to the superior colliculus,
which appears to be responsible for eye movements [20].
Cortical-based AHV systems use either surface or intracorti-
cal stimulation, using penetrating electrodes. Cortical stimula-
tion is the only treatment available for blindness caused by
glaucoma, optic atrophy or diseases of the central visual path-
ways, such as brain injuries or stroke. The main negative feature
of a cortical implant is the lack of preliminary processing by the
brain, particularly in the retina where much of the information
reduction takes place.
Most research regarding AHV has focused on sending a cap-
tured image to the brain as a bitmap representation. The bitmap
approach to cortical devices has been questioned [21]. Research
performed by Hubel and Weisel in macaque monkeys has found
that, in addition to spatial location of a stimulus in the visual
field, neurons in the visual cortex are selective for spatial, tempo-
ral, chromatic and binocular cues [22]. A greater knowledge of
cortical physiology may be required before a cortical prosthesis
provides useful vision. Evidence
has also been found to suggest that there may be specialized
cortical areas for the analysis of biologically important images
(such as faces) [23].
Artificial human vision
www.future-drugs.com 3
Cortical surface stimulation
The early developments in cortical prostheses involved surface
electrode arrays. The first person to expose the human occipital
pole to electrical stimulation was the German researcher For-
ester in 1929, who noticed that stimulation caused the subject
to see a spot of light in a position that depended on the site of
stimulation [1].
Brindley & Lewin
Brindley and Lewin published the results of a groundbreak-
ing study on cortical stimulation in 1968. In their study, a
52-year-old legally blind subject was implanted with an array
of 80 platinum electrodes, a design which had previously
been tested in baboons. These electrodes were stimulated by
pulsed radio signals from an oscillator. Stimulation of these
electrodes produced discernible phosphenes [24]. Brindley
and Lewin suggested that there was probably no flicker
fusion frequency for this implant. They also found that phos-
phenes moved with eye movements and that phosphene per-
ception usually (but not always) stopped when stimulation
ceased. Stimulation of one electrode was found to produce
multiple phosphenes and when multiple electrodes in close
vicinity were activated, a larger, straight light phosphene was
produced. Unfortunately, the monophasic stimulus pulses
used long-term in these earlier studies were also likely to
cause irreversible damage at the electrode-tissue interface [25].
Dobelle & Mladejovsky
Brindley and Lewin’s research inspired pioneering work
involving 37 human subjects by Dobelle and Mladejovsky in
1974, where electrical stimulation was applied to patients
hospitalized for cranial surgery [26]. Supporting Brindley and
Lewin’s work, they found eye movements caused phosphenes
to move and multiple phosphenes could be produced from a
single electrode. However, Dobelle and Mladejovsky found
that constant stimulation caused phosphenes to fade, sug-
gesting that phosphenes need to be refreshed. In a later paper,
it was reported that subjects were able to read electrode-
induced Braille characters more efficiently than using their
tactile sense [27].
In 2000, Dobelle published a paper describing a subject who
had been using a cortical visual prosthesis system for over
20 years [13]. The system used a 64-channel electrode array,
which had been implanted on the mesial surface of the subject’s
right occipital lobe in 1978. When stimulated, each electrode
produced one to four closely spaced phosphenes. The stimula-
tion parameters and phosphene locations had been stable for
the past 20 years, however, the electrode thresholds required a
15-min recalibration every morning. This system utilized a
black and white camera connected to a notebook computer.
Cables from the notebook were connected to a percutaneous
connecting pedestal, which interfaced to the microcontroller,
stimulus generator and electrode array. Dobelle reported that
frame rates of around 4 fps have been found to be optimal. The
subject has a visual acuity of approximately 20/200.
Bionic eye research project
Although research in the early 1990s moved towards intrac-
ortical stimulation, a recently commenced project at the
University of New South Wales ([NSW], Australia) is investi-
gating the use of technology adapted from cochlear implants
(which generally use surface electrodes). An in vivo model
has been reported, in which the transcallosal evoked
response to cortical stimulation on the opposite hemisphere.
Future psychophysical experiments in a human subject are
planned [28,29].
Intracortical stimulation
National Institute of Health
The Neuroprosthesis Program at the US National Institute of
Health (NIH) was the first to publish research concerning the
use of intracortical stimulation to produce phosphenes. In this
study by Bak and colleagues, three normally sighted patients,
undergoing occipital craniotomies for other conditions, were
tested for an hour each [30]. Surface stimulation produced the
same phosphenes described by Dobelle and Brindley. Following
this, a dual microelectrode was inserted to level 4B in the pri-
mary visual cortex and stimulation applied. Unlike surface elec-
trodes, the intracortical electrode phosphenes did not flicker.
An important finding from this research was the discovery that
intracortical stimulation required 10–100 times less electrical
current to produce phosphenes than surface electrodes. In addi-
tion, intracortical electrodes located as closely as 500 µm could
evoke distinct phosphenes.
A more detailed experiment by the NIH team was described
in 1996 by Schmidt and colleagues [31]. 38 microelectrodes
were inserted into the right visual cortex of a 42-year-old
woman for 4 months. The patient, who had been blind for
22 years, was consistently able to perceive phosphenes at stable
positions in visual space. Phosphenes were produced with 34 of
the microelectrodes, at thresholds usually at 25 µA. It was
found that these phosphenes did not flicker and changing the
stimulus amplitude, frequency and pulse duration could change
phosphene brightness. A perception of depth from the stimula-
tion was also reported and as the stimulation level was
increased, the phosphenes generally changed color (white, yel-
lowish and grayish). Supporting earlier research, phosphenes
moved with eye movements. Schmidt and colleagues suggested
that electrodes could be placed five times closer than surface
stimulation. An important result of this study concerned after-
discharge; one phosphene was observed for up to 25 min after
cessation of stimulation, which suggests that even small electri-
cal currents from repeated, patterned stimulation may be epi-
leptogenic. At least six of the electrode leads broke during the
study, due to accidental movement of the patient during sleep,
which limited testing on pattern recognition. The percutaneous
leads and electrodes were removed after 4 months.
The NIH Neuroprosthesis Program was discontinued by
2001 [32]. However, there is continuing collaboration with the
intracortical visual prosthesis team at the Illinois Institute of
Technology (IL, USA).
Dowling
4 Expert Rev. Med. Devices 2(1), (2005)
University of Utah
The University of Utah (UT, USA) currently has an active
intracortical research group led by Richard Normann. This
team has focused mainly on electrode array design for stimula-
tion and recording, behavioral experiments and psychophysical
experiments.
The University of Utah has developed an array of 100 pene-
trating cortical electrodes, each 1.5 mm in length and separated
by 400 µ. This length has been selected to reach level 4Cb of
the visual cortex, where neurons have the smallest and simplest
receptive fields and where lower thresholds can be used for gen-
erating phosphenes [33]. Manual insertion of the array was
found to cause cortical deformation, therefore, a pneumatic
insertion device has also been developed and tested [34]. The
biocompatibility of this array has been extensively evaluated
and arrays have been inserted for up to 14 months in cats [35].
The Utah electrode array (UEA) has been investigated as a
recording structure for potential brain-computer interfaces [36]
and recently for investigating representations of simple visual
stimuli in the cat visual cortex [37]. A modification of the UEA
is available which has graded electrodes, allowing stimulation
and recording to be conducted in both horizontal and vertical
directions [38].
Cortical implant for the blind
The Cortical Implant for the Blind (CORTIVIS) project, com-
menced in 2001, is lead by Edwardo Fernandez of the Univer-
sity of Miguel Hernandez (Spain), and involves researchers
from Spain, Germany, Austria, France and Portugal.
The group has investigated the use of the UEA in animal
experiments (cats, rabbits and rats) over a period of 12 h to
6 months. The electrodes were found to be well-tolerated by
the cortex, despite some inflammatory responses in the vicinity
of the electrode tracks [39].
In order to develop a methodology to identify feasibility of a
cortical prosthesis for a patient and the preferred location for
the prosthesis, Fernandez and colleagues have used transcranial
magnetic stimulation (TMS) to evoke phosphenes in 13 legally
blind and 19 normally sighted patients [40]. The advantage of
TMS is that it is painless and noninvasive. In total, 28-posi-
tions arranged in a 2 × 2 cm grid over the occipital area were
stimulated and phosphenes were perceived by 94% of the nor-
mally sighted participants. However, only 54% of the legally
blind patients perceived phosphenes (even after adjusting the
stimulation parameters). Evoked phosphenes were topographi-
cally organized and the mapping results could generally be
reproduced between participants.
The CORTIVIS project is also developing a retina-like proc-
essor, designed to simulate the functioning of the human retina
to produce optimal electrode stimulation at the cortical level
[41]. The output of this system is a series of spike patterns,
which could be used to stimulate neurons in the visual cortex.
In a study of brain plasticity by the CORTIVIS group, fMRI
was used to study the differences in reading Braille in normally
sighted and congenitally blind people [42]. Unlike normally
sighted participants, activation of the occipital cortex was
recorded in blind participants. The authors note that where
cross modal plasticity has been activated in this way, the
processing of tactile information is associated with significantly
improved tactile reading skill.
Intracortical visual prosthesis
The intracortical visual prosthesis (Illinois Institute of Technol-
ogy) project is led by Philip R Troyk, Director of the Laboratory
of Neuroprosthetic Research, and involves collaboration with
other institutions and former staff from the NIH Neuroprosthe-
sis Program. Their approach is to use small implanted arrays
(consisting of eight electrodes) in groups of intracortical elec-
trodes which tile the visual cortex. In a recent paper, Troyke and
colleagues describe an interesting animal experiment, using a
male macaque, designed to investigate visual prosthesis function-
ing with this tiled design [21]. Prior to implantation, the animal
was presented with a flash of light, and then trained to continue
staring at the flash location (so only the memory of the flash
remains); 192 tiled electrodes were then implanted into area V1
of the animal. Only 114 electrodes were functioning post
implantation. The receptive field coordinates for each implanted
electrode were estimated and a phosphene was generated in that
location. The macaque received a reward if its eye position
moved within 2° of the known receptive field for that electrode.
Retinal stimulation
The most common nonpreventable reason for blindness in the
developed world is age-related macular degeneration. This con-
dition affects the retina at the back of the eye, while leaving the
remaining components of the visual system intact. Retinal pros-
thesis research aims to use the remaining visual pathway com-
ponents to provide partial restoration of sight. An Australian
researcher, in 1956, was the first to describe placing a light sen-
sitive selenuium plate behind the retina of a blind individual
and restoring some intermittent light sensation [43].
There are significant advantages to the retinal approach to
AHV. Implantation of a cortical prosthesis requires intercranial
neurosurgery, which may expose a patient to higher risk. At a
fine scale, the mapping of a stimulus to the appropriate place on
the cortex may be variable between subjects [44]. An alternate
approach is to stimulate the eye rather than the brain. A retinal
prosthesis could assist people who still have a functioning optic
nerve. In post-mortem examinations of people without light
perception, 80% of the optic nerve and approximately 30% of
the ganglion cell layer was found to be functioning [45]. How-
ever, there may also be continual remodeling by the retina which
could lead to spatial corruption and cryptic synapse formation
after a retinal implant has been attached [46].
The two types of retinal prosthesis, discussed in the following
sections, are subretinal and epiretinal.
Subretinal stimulation
There are approximately 130 million receptors in the retina,
which are reduced down to 1 million fibers in of the optic
Artificial human vision
www.future-drugs.com 5
nerve. This information reduction takes place in the inner
nuclear layer (consisting of amacrine, bipolar and horizontal
cell nuclei) of the retina. Targeting this layer, a subretinal
implant is located behind the photoreceptor layer of the retina
and in front of the pigmented layer called the retinal pigment
epithelium. Therefore, the subretinal approach, unlike the
epiretinal, may be capable of utilizing the information reduc-
tion functions in the retina, provided the electric field produced
does not interfere with other retina components (such as the
ganglion cell layer).
Optobionics Corp.
Since the 1980s Alan and Vincent Chow have been investigat-
ing subretinal microphotodiodes for subretinal stimulation [47]
and their company, Optobionics Corp. (USA), was awarded the
original patent for an artificial subretinal device in 1991 [48].
In an early animal experiment, an implanted strip electrode
was inserted behind the photoreceptor layer in a rabbit’s eye.
The evoked electrical response of stimulation to the operated
eye was compared with the normal eye by presenting a flash of
light and then measuring the response from the scalp over the
visual cortex. It was found that a brief electrical spike was gen-
erated during stimulation [49]. This experiment demonstrated
the feasibility of converting light into electrical energy using
subretinal stimulation to produce a cortical electrical evoked
response [50].
A further animal experiment focused on the long-term bio-
compatibility of subretinal stimulation [51]. Cats were selected
for this study as they have both retinal and choroidal circula-
tion (unlike rabbits). The implants, approximately 50 µm in
thickness, with a diameter of 2–2.5 mm, consisted of a doped
and ion implanted silicon substrate, surrounded by a gold elec-
trode layer. Following implantation in the cat’s right eye, the
arrays were evaluated over 10 to 27 months. During this time, a
gradually decreased response to light was found, due to the dis-
solution of the gold electrode layer. In addition, the silicon sub-
strate blocked choroidal nourishment to the retina, which led
to a degeneration of the photoreceptors, which are highly
dependent on blood supply for oxygenation. The loss of pho-
toreceptors may not be important as they may be damaged any-
way. However, design work commenced on a fenestrated design
in order to improve the flow of nutrients from the choroid to
the retina [51]. The positive findings from this study were that
the implant maintained a stable position over time and there
was no rejection, inflammation or degeneration of the retina
outside the location of the implant [52].
By June 2000, Optobionics received approval from the US
Food and Drug Administration (FDA) to commence safety and
feasibility trials in six patients [53]. The artifical silicon retina
(ASR), consisting of 5000 microelectrode-tipped microphoto-
diodes in a 2-mm diameter device, was implanted into the right
eyes of six legally blind patients with RP. During a follow-up
period of 6–18 months, all ASRs were found to function elec-
trically and there were no signs of rejection, inflammation, ero-
sion, retinal detachment or migration of the device. During this
study it was found that all patients experienced improvements
in visual function (such as improved color perception) and
there were also unexpected improvements in retinal areas dis-
tant from the implant. These improvements may have been due
to neurotropic effects, rather than the device and further stud-
ies are intended to explore this improvement. Additional
planned research will examine the implant and age-related mac-
ular degeneration, and whether the neurotropic effect can be
effective in earlier stages of RP [53].
An issue with the Optobionics research has been the lack of an
experimental control (by implanting an inactive device or con-
ducting sham surgery) to evaluate against the ASR. Pardue and
colleagues have recently conducted research addressing this issue
[54]. Their experiment involved 15 RCS rats, which have a
genetic mutation resulting in photoreceptor degeneration over
approximately 77 days. The rats received either the ASR device,
an inactive device, sham surgery or no surgery. The outer retinal
function was assessed with weekly electroretinogram (ERG)
recordings. After 4–6 weeks there was a 30–70% higher b-wave
amplitude response with the ASR compared with the inactive
device, indicating that the ASR device appears to produce some
temporary improvement in retinal function. However, after
8 weeks, there was no significant difference in b-wave amplitude
response between the inactive and active devices. At 8 weeks,
there was a significantly greater number of photoreceptors
remaining for rats who had received either the ASR or inactive
device compared with those rats that had undergone sham sur-
gery or no surgery. Pardue and colleagues suggest that enhanced
protective effects from the ASR may be possible by altering the
design to increase current levels or by increasing environmental
light levels to produce higher stimulation levels [54].
MPDA project
After collaborating with the Optobionics group between 1994
and 1995 [55], a Southern German team led by the University
Eye Hospital in Tübingen, was formed in 1995 to develop a sub-
retinal prosthesis. In 1996, the Institute of Micro-Electronics in
Stuttgart developed a prototype microphotodiode array
(MPDA) containing 7600 microelectrodes on a 3-mm disc, 50
µm in diameter [56]. In vitro techniques have been predominantly
reported by the German subretinal project.
The first generation of MPDAs were tested using a sandwich
technique, which involved the retinae from newly hatched
chickens being adhered to a recording multielectrode array (the
ganglion cell side was adhered). The photoreceptor outer seg-
ments were then damaged and an MPDA placed onto the ret-
ina. This technique allowed the recording of stimuli from the
MPDA [56]. A later study examined degenerated rat retinae [57].
The retinae were removed and cut into 5 × 5 mm
segments, then attached to a 60-electrode microelectrode
array. Beams of white light were flashed onto the MPDA and it
was found that intrinsic ganglion cell activity could be recorded
even with a highly degenerated retinal network. Further experi-
ments have demonstrated that it should be possible to transform
the basic features of images, such as points, bars and edges into
Dowling
6 Expert Rev. Med. Devices 2(1), (2005)
activity of the existing retinal network; which suggests that shape
perception and object location may be possible with a subretinal
device [58]. However, recent epiretinal results from Rizzo and col-
leagues have not confirmed the pattern perception of phosphenes
from patterned electrical stimulation of the retina [59].
Further tests have been conducted in order to test the bio-
compatibility stability of the MPDA. Various materials were
placed in Petri dishes with the retinae of pigmented rats. For
comparison, a control dish containing only the retinae and
solution was used. None of the MPDA materials demonstrated
a toxic effect. Retinal cell cultures from rats were also used by
Guenther and colleagues to screen for technical implant mate-
rial [60]. Although most materials (including iridium and silica)
showed good biocompatibility, a reduced biocompatibility was
found for titanium materials. Interestingly, a later paper by
Hammerle and colleagues found that titanium nitrate had
excellent biostability, both in vivo and in vitro [61].
Similarly to the Optobionics research, electroretinography
was performed in rabbits and rats in order to measure the effec-
tiveness of the MPDA. As the MPDA are sensitive to infrared
light, it is possible to stimulate the retina and measure the cur-
rent discharged from the MPDA. This method should be useful
for the localizing electrical responses from an MPDA.
As with the early Optobionics MPDA [49], Zrenner and col-
leagues found in their early work that metabolic processes in
the photoreceptor layer can be disrupted by the MPDA and
they placed very thin holes in their device to allow nutrients to
be passed [56].
As natural photoreceptors are far more efficient than photo-
diodes, visible light is not powerful enough to stimulate the
MPDA. Therefore, infrared enhancement of the photodiode
arrays (by inserting an additional layer in the array) has been
suggested to enhance the stimulation current [43].
The German team commenced in vivo experiments in 2000,
when evoked cortical potentials were measured from Yucantan
micropigs and rabbits. The micropigs have eyes which are com-
parable in size and function with human eyes [62]. At 14 months
post implantation, the implant and retina surrounding it were
examined and there were no noticeable changes to anatomical
integrity [63]. However, because the existing MPDA does not
function in ambient light conditions, an electrode foil prototype
with similar properties was implanted. The micropigs required a
higher threshold level than the rabbits [64], however, the implants
were successful in producing evoked cortical potentials in half of
the animals tested. The thresholds identified in this study were
similar to those required in epiretinal stimulation [64].
The latest reports from this group concern the results of
in vivo experiments in cats. Volker and colleagues described the
use of optical coherence tomography to examine the morpho-
logic and circulatory conditions of the cat neuroretina and it’s
interface with an implanted MPDA [65].
Other subretinal methods
A team of Japanese researchers, led by Tohru Yagi of Nagoya
University has been investigating the attachment of cultured
neurons onto electrodes and then guiding the axons towards
the CNS. As this hybrid retinal implant will not require retinal
ganglion cells or an optic nerve, it could be useful for patients
with diseases in these components of the visual pathway.
Results of an experiment with neural cells obtained from the
spinal cords of a 3–4- week-old rat are described by Ito and col-
leagues [66]. Another study by this team investigated electrical
stimulation requirements by stimulating the lateral geniculate
nucleus in a cat. Recordings of the evoked potentials from the
cat’s cortex found that pulse amplitude was a more important
factor than pulse duration and that a biphasic pulse pattern was
the most effective stimulation pattern [67]. Further studies have
suggested using a computer model for the 3D configuration of
electrode arrays [68].
Peterman and colleagues are also investigating the use of
directed cell growth and localized neurotransmitter release for a
retinal interface. They have been successful in directing the
growth of neurons in a defined direction, using micropatterned
substrates [69] and have demonstrated that the localized chemi-
cal stimulation of excitable cells is feasible. The authors suggest
that chemical stimulation can have a similar spatial resolution
as an electrical stimulation but with the ability to mimic the
major functions of synaptic transmission [70].
An interesting design for a MPDA has been recently reported
by Ziegler and colleagues, who propose a device where each pixel
acts as an independent oscillator whose frequency is controlled
by light intensity [71].
Kanda has suggested an alternative stimulation method for a
retinal device: suprachoroidal-transretinal stimulation (STS),
which does not involve the attachment of electrodes to the ret-
ina [72]. This should result in less complicated surgery for blind
patients. The anodic-stimulating electrode is located on the
choroidal membrane and the cathode is located in the vitreous
body. This technique has been used in animal experiments
where evoked potentials were recorded from the superior collic-
ulus in rats. The authors are planning long-term, in vivo bio-
compatability studies [72]. However, it has been demonstrated
that neural cells should not be separated from electrodes by
more than a few µm, due to overheating, crosstalk between
neighboring pixels and electrochemical erosion [73]. The thick-
ness of the choroid is approximately 400 µm, therefore, supra-
choroidal placement precludes close proximity between elec-
trodes and cells, which will limit the potential visual acuity of
the STS approach.
Epiretinal stimulation
An epiretinal device involves a neurostimulator chip being
implanted against the ganglion cells in the retina. This approach
attempts to stimulate the remaining retinal neurons of patients
who are blind from end-stage photoreceptor diseases.
Retinal implant
Formerly from the Wilmer Ophthalmological Institute, John
Hopkins Hospital, Mark Humayun and Eugene De Juan Jr are
currently based at the Doheny Retina Institute at the University
Artificial human vision
www.future-drugs.com 7
of Southern California (CA, USA). Humayun’s PhD thesis
demonstrated that a visually impaired person could perceive
phosphenes during stimulation of the retina [74]. The engineer-
ing aspects of developing electronic stimulators and supporting
electronics have been mainly conducted by Wentai Liu and his
team at North Carolina State University [75].
In the first experiment to demonstrate successful phosphene
perception from local electrical stimulation of the retina,
14 patients (12 with RP, and two with age-related macular
degeneration) had their inner retinal surface electrically stimu-
lated under local anaesthesia [76]. The responses were retinotop-
ically correct in 13 of the patients, with the remaining patient,
blind from birth, unable to distinguish anything apart from
flashing light. The phosphenes were perceived exactly with the
timing of the electrical stimulation [76]. Flicker fusion was
tested in two subjects and found to occur at approximately
50 Hz; the phosphenes also appeared brighter at higher fre-
quency [77]. An earlier paper also reported on five of these
patients [78].
In 1999, a further experiment was reported on nine subjects,
involving nine or 25 electrode array electrodes [45]. The elec-
trodes were placed against the retinal surface and handheld in
place using a silicon-coated cable with the guidance of a surgi-
cal microscope. The flicker fusion frequency was found to be
50 Hz in two subjects and 40 Hz in another two subjects (the
remaining subjects were not tested). By scanning with the head-
mounted camera, subjects were able to perceive simple shapes
in response to stimulation (e.g., horizontal and vertical lines
and ‘U’ and ‘H’ shapes).
A report on the long-term biocompatibility of an implanted,
inactive epiretinal device was also published in 1999 [79], in
which 25 platinum disc-shaped electrodes in a silicon matrix
were implanted into the retinal surface of four normally sighted
dogs. The arrays were held in place using metal alloy tacks.
Over a 6-month period the implants were biologically tolerated
well, mechanically stable and could be securely attached to the
retinal surface [79].
A design for a functioning retinal prosthesis system has been
described in joint papers by Liu and colleagues at North Caro-
lina State University and the John Hopkins team in 1999 [80,81].
The proposed device, termed the multiple unit artificial retina
chipset (MARC), consists of the extraocular unit containing the
video camera and video processing board, connected by a tele-
metric inductive link to the intraocular unit. The power and
signal transceiver, stimulation driver and electrode array are
contained in the intraocular unit.
In 2003, after obtaining FDA approval, the Doheny Eye
Institute team and Second Sight (CA, USA), a company
formed by former North Carolina State University team
member, Robert Greenberg and Alfred Mann, developed the
first human epiretinal implant. A subject with advanced RP
received an implanted 4 × 4-electrode array, connected by a
subcutaneous cable to an extraocular unit which was surgi-
cally attached to the temporal area of the skull. A wireless
link transferred data and power from a belt-worn visual-
processing unit to the extraocular unit. All 16 electrodes
produced phosphenes and the subject was able to detect
ambient light, motion and correctly recognize the location
of phosphenes (e.g., left vs. right or upsidedown). Future
plans are to develop more complex stimulation control and
provide a higher number of electrodes [82]. The use of micro-
wire glass is also being investigated as a method to assist
with the mapping of flat microelectric stimulator chips and
curved neuronal tissue [83].
Retinal prosthesis project
Following earlier collaborative work with Humayan and
deJuan, Wentai Liu and his team have continued with the
development of an epiretinal prosthesis. A 60-electrode stimu-
lating chip, which integrates power transfer and back telemetry,
has been developed [84]. One of the advantages of this system
would be removing the requirement for the cable connecting
the intraocular and extraocular units described in the Doheny
Eye Institute team implant [82].
Second Sight
Second Sight is a company formed by Robert Greenberg (from
the Retinal Prosthesis Project led by Wentai Lui) and Alfred
Mann (also the founder of the Cochlear Implant company
Advanced Bionics). Second Sight developed the epiretinal device
implanted into a blind patient by the Doheny Eye Institute team,
as described previously [82].
Boston retinal implant project
This project is a collaboration between Joseph Rizzo (Massa-
chusetts Eye and Ear Infirmary, Harvard Medical School,
MA, USA) and John Wyatt (Massachusetts Institute of Tech-
nology, MA, USA) to develop an epiretinal prosthesis. The
main difference between their approach and Humayun and
colleagues, is the use of a miniature laser, located in a pair of
glasses, to transfer power and data to a stimulator chip.
Although the laser is required to be accurately directed to the
implant and needs to cope with blinking, it will not be
effected by electronic noise interference (unlike radiofre-
quency transmission) [85]. Electrically invoked cortical poten-
tials have been successfully recorded from stimulation of a
rabbit retina [86].
Recently, the microelectrode arrays have been tested with
six patients, five of them legally blind from RP. The sixth
patient was normally sighted, however their eye required
removal due to orbital cancer. All patients were able to per-
ceive phosphenes in response to stimulation, however, the
results were mixed. Threshold charge densities were found
to be significantly higher and above safe levels, in blind
patients compared with the normally sighted patient [59]. In
this study, it was often found that multiple phosphenes
would be presented when a single electrode was stimulated,
for example, 60% of tests in one subject. In addition, multi-
ple-electrode stimulation did not reliably produce matching
phosphenes [87].
Dowling
8 Expert Rev. Med. Devices 2(1), (2005)
EPI-RET
Rolf Eckmillar from the University of Bonn (Germany), leads
the German EPI-RET project, which involves 14 research
groups. The aim of their first epiretinal device is to allow blind
people to identify the location and shape of large objects [88].
Their approach involves replicating a healthy retina with a reti-
nal encoder device, which consists of a photosensor array of
10,000–100,000 pixel inputs and simulated output of
100–1000 ganglion cells. Eventually, this project aims to embed
this encoder into a contact lens. The output from the encoder is
then sent to an implanted retinal stimulator. Eckmilliar and col-
leagues suggest that a future epiretinal prosthesis will be tuned
(to optimize phosphene perception) during a dialog between a
subject and their retinal encoder [89–92]. More recently, a learn-
ing active vision encoder (LAVIE) has been proposed to com-
pensate for spontaneous eye (drift or nystagmus) and head
movements in the absence of vision. A smooth pursuit function
is also being investigated [93].
Flat platinum microelectrodes have been developed for the
EPI-RET project and evoked cortical potentials have been
recorded after stimulation in rabbits [94]. In 2000, Hesse and
colleagues reported problems with the fixation of the electrode
film and the retina in a cat experiment, partly due to the very
thin posterior sclera [95]. Research into alternate electrode shape
and fixation techniques is planned.
The company Intelligent Implants was formed in 1998 to
commercialize research by the EPI-RET group [93].
University of NSW and University of Newcastle Vision
Prosthesis Project
Australian research on an epiretinal prosthetic vision system is
occurring at the Vision Prosthesis Project at the Universities of
NSW and Newcastle, led by Gregg Suaning and Nigel Lovell.
This project aims to extend concepts from the development of
cochlear prostheses.
A 100-channel neurostimulator circuit for the retina has been
developed, which uses bidirectional radiofrequency telemetry
for transferring data and power [16,44]. A data format protocol
has been introduced. The 100-channel neurostimulator was
found to function and successfully produce evoked potentials
in sheep [96–98]. An inexpensive technique for manufacturing
platinum spherical electrodes has also been proposed [99].
Recently, an hexagonal mosaic of intraocular electrodes has
been suggested by Hallum and colleagues to optimize the place-
ment of electrodes and therefore improve visual acuity in pros-
thesis patients [100]. A prototype for an epiretinal system, capa-
ble of 840 stimulating events per second, using this electrode
placement combined with a filtering approach to image
processing, has also been described [101].
Optic nerve devices
The optic nerve is a collection of 1 million individual fibers
running from the retina to the lateral geniculate body. This
nerve can be reached surgically and could provide a suitable
location for implanting a stimulation electrode array.
Microsystems-Based Visual Prosthesis & OPTIVIP projects
(ESPRIT programme of the European Union)
The Microsystems-Based Visual Prosthesis (MiVip) team, led
by Claude Veraat of the Neural Rehabilitation Engineering
Laboratory, Université Catholique de Louvain in Belgium,
has developed a prosthesis system which includes a spiral cuff
silicon electrode to stimulate the optic nerve.
In February 1998, a 59-year-old blind patient was implanted
with the optic nerve visual prosthesis. Localized phosphenes
were successfully produced throughout the visual field and
changing pulse duration or amplitude could alter their bright-
ness. After training it was reported that the patient could per-
ceive different shapes, line orientations and even letters [102].
However, this system only displays one phosphene at a time and
pattern recognition was achieved by the subject scanning with a
head-mounted camera over a time period of up to 3 min. An
interesting feature of this study has been the different phos-
phene shapes that have been generated; if these could be reliably
replicated they might add a useful dimension to prosthetic
vision. The cuff electrode consists of four platinum contacts and
is able to adapt continuously to the diameter of the optic nerve.
Initially a subcutaneous connector conducted stimulation of the
electrode, however, in August 2000, a neurostimulator and
antenna were implanted and connected to the electrode. An
external controller with telemetry was then used for stimulating
the cuff electrode. Recently, an adaptive neural network tech-
nique has been proposed to classify the phosphenes generated by
this device [103,104].
AHV simulation studies
Due to the difficulty in obtaining experimental participants
with an AHV device implanted, a number of simulation studies
have been conducted with normally sighted subjects. However
the simulation approach assumes that normally sighted people
are receiving the same experience as a blind recipient of an
AHV system. Weiland and Humayun have stated that human
implant studies are the only method of verifying the effective-
ness of a visual prosthesis and have questioned the validity of
simulation studies [105].
A frequently cited prosthetic vision simulation was con-
ducted in 1992 at the University of Utah by Cha and col-
leagues, in order to calculate the minimum number of phos-
phenes required for adequate mobility [106]. The pixelized
vision simulator device consisted of a video camera connected
to a monitor in front of the subject’s eyes. A perforated mask
was placed on the monitor to reproduce the effect of individual
phosphenes. The artificial environment consisted of an indoor
maze, which contained paper column obstacles. Walking speed
and frequency of contact were used as dependant variables.
This research found that a 25 × 25 array of phosphenes, with a
field of view of 30° would be required for a successful device.
The simulation display employed by Cha and colleagues
used a simple television-like display. Hayes and colleagues have
described a more sophisticated approach [107], in which two
different image-processing applications were used to display
Artificial human vision
www.future-drugs.com 9
simulated phosphenes to a seated subject, who wore a head-
mounted display. The first image processing application used a
simple square phosphene array, where each phosphene con-
sisted of a solid grey scale value equal to the mean luminance
of the contributing image pixels. The second image processing
application used a Gaussian filter. Array size, contrast level,
dropout percentage, simulated phosphene size and back-
ground noise were adjustable features of the simulation.
Object recognition (including plate, cup and spoon), reading,
candy pouring and cutting accuracy tasks were conducted
under different simulation conditions. The main result was to
conclude that the phosphene array size would be the most
important factor in a useable prosthesis.
Another image processing approach investigated the require-
ments for AHV facial recognition in [108]. A low vision
enhancement system connected to a PC and driven by a visual
basic program was used to display the images. Subjects were
required to select which simulation image best matched a set of
four normal images of human faces (the images of the same
person were varied by head angle and whether the person was
smiling or serious). All images displayed occupied a visual field
of 13° horizontally and 17° vertically. The simulation display
was presented in a circular dot mask, rather than the contigu-
ous square blocks. Electrode properties (such as dropouts; size
and gaps), contrast and grey levels could be varied experimen-
tally. The grid sizes used in this study varied from 10 × 10 to 32
× 32 phosphenes. The authors found high accuracy for all high
contrast tests (except those with significant dropout and two
gray levels) and suggest that reliable face recognition using a
crude pixelized grid is feasible.
Research at the Queensland University of Technology (Aus-
tralia), has examined the use of various image-processing
techniques (such as enhancing edges, using different grey
scales and extracting the most important image features) to
identify a recognition threshold for low-quality stationary
images [109]. These images are used to represent the limited
number of phosphenes available to the subject (typically a 25
× 25 array). This research has found that at these low infor-
mation levels the use of image- processing techniques is not
helpful in the identification of static scenes, although an auto-
matic zoom feature did aid image understanding. Additional
research at Queensland University of Technology is investigat-
ing methods for the assessment and enhancement of mobility
for AHV system users [110].
Expert opinion
With our current understanding of neuronal mechanisms in
the visual system, AHV systems do not appear likely to
replace the functioning of normal human vision. It is not
likely that a regularly organized array of phosphenes will
occur as a result of current technology microelectrodes [21].
While the development of AHV systems continues, research
into retinal transplantation, growth factors and gene therapy
has commenced which may also provide alternative treatment
options for blindness.
AHV systems are likely to offer benefits in the areas of mobility
and reading. An important question is whether the benefits from
these systems are worth the cost. Despite the overloading of
another sensory input channel, traditional mobility aids and ETA
devices (such as the vOICe system from Peter Meijer [201]), are
probably cheaper, less invasive and may require a similar amount
of training to AHV systems. Additionally, most people who are
classified as blind are elderly and still have some remaining
vision, and therefore are probably not suited to an AHV system.
The need for standard psychophysical assessment methods
have been noted by a number of AHV researchers [101,111]. To
inform consumers on the benefits of an AHV system compared
with other technical aids for the blind, future research compar-
ing the effectiveness of these devices would be useful. The lack
of a method to compare mobility has also been raised by
Dobelle [13]. However, there are a number of mobility assess-
ment methods presented in the Orientation and Mobility Liter-
ature which could be useful for comparison of AHV systems
and other devices [112–114].
AHV research offers important insight regarding the function-
ing of the human visual system and in brain-computer interface
technology. The subretinal device from Optobionics has shown
impressive results, however, these results may be due to neuro-
trophic effects rather than the microphotodiode implant used.
Current research in other AHV systems is promising, however,
there appears to be significant development required before they
can provide useful mobility and reading. Excellent additional
review papers on AHV include [38,50,115,116].
Five-year view
The subretinal implants demonstrate the greatest promise in
restoring some vision, however, there are doubts over whether
the improvements in vision are due to neurotrophic effects or
the device itself. Further tests to determine the reason for the
improvements are planned. If the device is responsible, it is
conceivable to see these implants available in the next 5 years.
The cortical implant system from the Dobelle institute is
commercially available; however it has not been approved by
the FDA. A 5-year view on this system is not possible, as infor-
mation regarding the system and patient outcomes are not
made public. A recent article in the Wall Street Journal [117]
reported a 33-year-old female recipient who paid US$100,000
for the Dobelle system and was only able to use it for 15 min
per day (as it was tiring and caused head pain).
The remaining cortical and optic nerve systems are still in
varying stages of preliminary human or animal testing. Prelimi-
nary research has also commenced on microstimulation of the
lateral geniculate nucleus [118]. Although progress will be made,
it does not appear likely that a commercial system using these
methods will be available in the next 5 years.
Acknowledgements
This research was supported by Cochlear Ltd and the Aus-
tralian Research Council through ARC Linkage Grant project
0234229.
Dowling
10 Expert Rev. Med. Devices 2(1), (2005)
Information resources
Main contacts and project websites:
• Bionic Eye Research Project (Cortical Neuroprosthesis, Uni-
versity of New South Wales, Australia)
Vivek Chowdhury and John Morley
http://ophthalmology.med.unsw.edu.au/bioniceye.htm
• Cortical Implant for the Blind (CORTIVIS, Europe)
Edwardo Fernandez
http://cortivis.umh.es/
• EPI-RET (Retina implant research in Cologne, Germany)
Rolf Eckmiller
www.medizin.uni-koeln.de/kliniken/augenklinik/epi-
ret3e.htm
• Intracortical visual prosthesis (Illinois Institute of Technol-
ogy)
Phillip Troyk
http://neural.iit.edu/intro.html
• Microsystems-Based Visual Prosthesis (MiVip, ESPRIT pro-
gram of the European Union, now OPTIVIP)
Claude Veraart
www.md.ucl.ac.be/gren/Projets/mivip.html
• OPTIVIP projects (ESPRIT program of the EU)
Claude Veraart
www.dice.ucl.ac.be/optivip/
• Optobionics Corporation (USA)
Alan Chow and Vincent Chow
www.optobionics.com
• Retinal Implant (Doheny Retina Institute, University of
Southern California, USA)
Mark Humayun and Eujene De Juan Jr
www.usc.edu/hsc/doheny/
• Retinal Implant & Biohybrid Implant (Japan)
Tohru Yagi
www.bmc.riken.jp/~ yagi/retina/
• Retinal Implant-AG (was SUB-RET project, Germany)
Eberhart Zrenner
www.retina-implant.de/tour/
• Retinal Prosthesis Project (North Carolina State University)
Wentai Liu
www.icat.ncsu.edu/projects/retina/
• Retinomorphic chip (University of Pennsylvania, USA)
www.neuroengineering.upenn.edu/boahen/pub/fs_pub.htm
• Second Sight (CA, USA)
Alfred E Mann and Robert Greenberg
www.2-sight.com/
• The Boston Retinal Implant Project (USA)
John Wyatt and Joseph Rizzo
www.bostonretinalimplant.org/
• The Dobelle Institute (Lisbon, Portugal)
William Dobelle
www.dobelle.com/
• University of Utah (Intracortical prosthesis, USA)
Richard A Normann
www.bioen.utah.edu/cni/projects/blindness.htm
• Vision Prosthesis Project (Retinal prosthesis, Universities of
NSW and Newcastle, Australia)
Gregg Suaning
http://bionic.gsbme.unsw.edu.au/
Key issues
• Artificial human vision (AHV) involves the electrical
stimulation of a component of the human visual system,
which may invoke the perception of a phosphene or point
of light.
• Four locations for AHV implants are currently utilized;
subretinal, epiretinal, optic nerve and the visual cortex
(using intra- and surface electrodes).
• The only commercially available system is the cortical
surface stimulation device from the Dobelle Institute.
• The most impressive gains in vision have been reported
from the subretinal device developed by the Optobionics
Corp., however, these results may not be related to the
microphotodiode device used.
• Psychophysical and mobility assessment standards would
help in comparing AHV systems with other technical aids
for the blind.
References
1 Hambercht FT. The history of neural
stimulation and its relevance to future
neural prostheses. In: Neural Prostheses:
Fundamental Studies. Agnew WF,
McCreery DB (Eds). Prentice Hall, NJ,
USA (1990).
2 World Health Organization (WHO).
Blindness and visual disability: seeing ahead
– projections into the next century. WHO
Fact Sheet 146 (1997).
3 World Health Organization. Blindness and
visual disability: other leading causes
worldwide. WHO Fact Sheet 44 (1999).
4 World Health Organization. Blindness and
visual disability: major causes worldwide.
WHO Fact Sheet 143 (1999).
5 Chawla H. Essential Opthamology.
Churchill Livingstone, Edinburgh, UK
(1981).
6 World Health Organization. Blindness and
visual disability: socioeconomic aspects.
WHO Fact Sheet 145 (1997).
7 Rosen S. Kinesiology and sensorimotor
function. In: Foundations of Orientation and
Mobility. 2nd Edition. Blasch BB, Weiner
WR (Eds). American Foundation for the
Blind, NY, USA (1997).
8 Farmer LW, Smith DL. Adaptive
technology. In: Foundations of Orientation
and Mobility. 2nd Edition. Blasch BB,
Weiner WR (Eds). American Foundation
for the Blind, NY, USA (1997).
9 Dodds A. Rehabilitating Blind and Visually
Impaired People. Chapman and Hall,
London, UK (1993).
10 Soong GP, Lovie-Kitchin JE, Brown B.
Preferred walking speed for assessment of
mobility performance: sighted guide versus
nonsighted guide techniques. Clin. Exp.
Optom. 83, 279–282 (2000).
11 Dagnelie G. Toward an artificial eye. IEEE
Spectrum 22–29 (1996).
Artificial human vision
www.future-drugs.com 11
12 Pelayo FJ, Martinez A, Romero S et al.
Cortical visual neuro-prosthesis for the
blind: retina-like software/hardware
preprocessor. Proceedings of the First
International IEEE EMBS Conference on
Neural Engineering (2003).
13 Dobelle W. Artificial vision for the blind by
connecting a television camera to the brain.
ASAIO J. 46, 3–9 (2000).
14 Boahen KA. A retinomorphic vision
system. IEEE Micro. 16, 30–39 (1996).
15 Normann RA, Maynard EM, Guillory KS,
Warren DJ. Cortical implants for the blind.
IEEE Spectrum 33, 54–59 (1996).
16 Suaning GJ, Lovell NH. CMOS
neurostimulation system with 100
channels, scaleable output and bi-
directional radio frequency telemetry.
IEEE Transac. Biomed. Eng. 48, 248–260
(2001).
17 Troyk PR, Schwan MAK. Closed-loop class
E transcutaneous power and data link for
MicroImplants. IEEE Transac. Biomed. Eng.
39, 589–599 (1992).
18 Cornsweet TN. Visual Perception.
Academic Press, NY, USA (1970).
19 Gregory RL. Eye and Brain: The Psychology
of Seeing. 5th Edition. Oxford University
Press, Tokyo (1998).
20 Levine MD. Vision in Man and Machine.
McGraw-Hill Publishing Company, NY,
USA (1985).
21 Troyk P, Bak M, Berg J et al. A model for
intracortical visual prosthesis research. Artif.
Organs 27, 1005–1015 (2003).
22 Hubel DH, Exploration of the primary
visual cortex, 1955–1978. In: Cognitive
Neuroscience: A reader. Gazzaniga MS (Ed.).
Blackwell, MA, USA (2000).
23 Ronner SF. Electrical excitation of CNS
neurons. In: Neural Prostheses: Fundamental
Studies. Agnew WF, McCreery DB (Eds).
Prentice Hall, NJ, USA (1990).
24 Brindley GS, Lewin WS. The sensations
produced by electrical stimulation of the
visual cortex. J. Physiol. 196, 479–493
(1968).
25 Suaning G, Lovell N, Schindhelm K,
Coroneo A. The bionic eye (electronic
visual prosthesis): a review. Aust. NZ J.
Ophthamol. 26, 195–202 (1998).
26 Dobelle WH, Mladejovsky MG.
Phosphenes produced by electrical
stimulation of human occipital cortex, and
their application to the development of a
prosthesis for the blind. J. Physiol. 243,
553–576 (1974).
27 Dobelle WH, Mladejovsky MG, Evans JR,
Roberts TS, Girvin JP. ‘Braille’ reading by a
blind volunteer by visual cortex
stimulation. Nature 259, 111–112 (1976).
28 Chowdhury V, Morley JW, Coroneo MT.
An in vivo paradigm for the evaluation of
stimulating electrodes for use with a visual
prosthesis. Aust. NZ J. Surg. 74, 372–378
(2004).
29 Chowdhury V, Morley JW, Coroneo MT.
Surface stimulation of the brain with a
prototype array for a visual cortex
prosthesis. J. Clin. Neurosci. 11, 331–341
(2004).
30 Bak M, Girvin JP, Hambrecht FT et al.
Visual sensations produced by intracortical
microstimulation of the human occipital
cortex. Med. Biol. Eng. Comp. 28, 257–259
(1990).
31 Schmidt EM, Bak MJ, Hambrecht FT et al.
Feasibility of a visual prosthesis for the
blind based on intracortical
microstimulation of the visual cortex. Brain
119, 507–522 (1996).
32 Rizzo JF, Wyatt J, Humayun M et al.
Retinal prosthesis: an encouraging first
decade with major challenges ahead.
Ophthalmology 108, 13–14 (2001).
33 Normann RA. A penetrating, cortical
electrode array: design considerations.
Proceedings of IEEE International Conference
on Systems, Man and Cybernetics (1990).
34 Rousche PJ, Normann RA. A System for
impact insertion of a 100 electrode array
into cortical tissue. Proceedings of the 12th
Annual International Conference of the IEEE
Engineering in Medicine and Biology Society
(1990).
35 Normann RA. Visual neuroprosthetics-
functional vision for the blind. IEEE
Engineering in Medicine and Biology
Magazine 14, 77–83 (1995).
36 Maynard EM, Nordhausen CT,
Normann RA. The Utah intracortical
electrode array: a recording structure for
potential brain- computer interfaces.
Electroencephalogr. Clin. Neurophysiol.
102, 228–239 (1997).
37 Normann RA, Warren D, Koulakov A.
Representations and dynamics of
representations of simple visual stimuli by
ensembles of neurons in cat visual cortex
studied with a microelectrode array.
Proceedings of the First International IEEE
EMBS Conference on Neural Engineering
(2003).
38 Maynard EM. Visual prostheses. Ann. Rev.
Biomed. Eng. 3, 145–168 (2001).
39 Fernandez E, Ahnelt P, Rabischong P et al.
Towards a cortical visual neuroprosthesis
for the blind. Proceedings of the IFMBE,
Vienna 3, 1690–1691 (2002).
40 Fernandez E, Alfaro A, Tormos JM et al.
Mapping of the human visual cortex using
image-guided transcranial magnetic
stimulation. Brain Res. Protocols 10,
115–124 (2002).
41 Pelayo FJ, Romero S, Morillas CA et al.
Translating image sequences into spike
patterns for cortical neurostimulation.
Proceedings of the Annual Computational
Neuroscience Meeting, Alicante, Spain
(2003).
42 Fernandez JM, Alfaro A, Bonomini P et al.
Brain plasticity: feasibility of a cortical
visual prosthesis for the blind. Proceedings of
the 25th Annual International Conference of
the IEEE Engineering in Medicine and
Biology Society. (2003).
43 Schubert MB, Hierzenberger A, Lehner
HJ, Werner JH. Optimizing photodiode
arrays for the use as retinal implants.
Sensors and Actuators A: Physical. 74,
193–197 (1999).
44 Suaning GJ, Lovell NH. A 100 channel
neural stimulator for excitation of retinal
ganglion cells. Proceedings of the 20th
Annual International Conference of the IEEE
Engineering in Medicine and Biology Society.
20, 2232–2235 (1998).
45 Humayun MS, de Juan E Jr, Weiland JD
et al. Pattern electrical stimulation of the
human retina. Vision Res. 39, 2569–2576
(1999).
46 Marc RE, Jones BW, Watt CB, Strettoi E.
Neural remodeling in retinal
degeneration. Prog. Retinal Eye Res. 22,
607–655 (2003).
47 Chow AY, Chow VY, Pardue MT et al. The
semiconductor-based microphotodiode
array artificial silicon retina. Proceedings of
the IEEE International Conference on
Systems, Man and Cybernetics (1999).
48 Chow A. Artificial retina device.
Optobionics Corporation USA (1991).
49 Chow AY, Chow VY. Subretinal electrical
stimulation of the rabbit retina. Neurosci.
Lett. 225, 13–16 (1997).
50 Margalit E, Maia M, Weiland JD et al.
Retinal prosthesis for the blind. Survey of
Ophthalmol. 47, 335–356 (2002).
51 Chow AY, Pardue MT, Chow VY et al.
Implantation of silicon chip
microphotodiode arrays into the cat
subretinal space. IEEE Transactions on
Neural Systems and Rehabilitation
Engineering. 9, 86–95 (2001).
52 Pardue MT, Stubbs J, Evan B et al.
Immunohistochemical studies of the retina
following long-term implantation with
subretinal microphotodiode arrays. Exp. Eye
Res. 73, 333–343 (2001).
Dowling
12 Expert Rev. Med. Devices 2(1), (2005)
53 Chow A. First trials and future technologies
for artificial retinas. Proceedings of the 14th
Annual Meeting of the IEEE Lasers and
ElectroOptics Society (2001).
54 Pardue MT, Phillips MJ, Yin H et al.
Neuroprotective effect of subretinal
implants in the RCS rat. Invest.
Ophthalmol. Vision Sci. (2004). In Press.
55 Chow AY, Peachey NS. The subretinal
microphotodiode array retinal prosthesis.
Ophthalmic Res. 30, 195–198 (1998).
56 Zrenner E, Miliczek K-D, Gabel VP et al.
The development of subretinal
microphotodiodes for replacement of
degenerated photoreceptors. Ophthalmic
Res. 29, 269–280 (1997).
57 Zrenner E, Stett A, Weiss S et al. Can
subretinal microphotodiodes successfully
replace degenerated photoreceptors? Vision
Res. 39, 2555–2567 (1999).
58 Stett A, Barth W, Weiss S, Haemmerle H,
Zrenner E. Electrical multisite stimulation
of the isolated chicken retina. Vision Res.
40, 1785–1795 (2000).
59 Rizzo J, Wyatt J, Loewenstein J, Kelly S,
Shire D. Methods and perceptual
thresholds for short-term electrical
stimulation of human retina with
microelectrode arrays. Invest. Ophthalmol.
Visual Sci. 44, 5355–5361 (2003).
60 Guenther E, Troger B, Schlosshauer B,
Zrenner E. Long-term survival of retinal
cell cultures on retinal implant materials.
Vision Res. 39, 3988–3994 (1999).
61 Hammerle H, Kobuch K, Kohler K et al.
Biostability of micro-photodiode arrays for
subretinal implantation. Biomaterials 23,
797–804 (2002).
62 Zrenner E. The subretinal implant: can
microphotodiode arrays replace
degenerated retinal photoreceptors to
restore vision? Ophthalmologica 216(Suppl.
1), 8–20 (2002).
63 Gekeler F, Schwahn H, Stett A, Kohler K,
Zrenner E. Subretinal microphotodiodes to
replace photoreceptor-function. A review of
the current state. In: Vision, sensations et
environnement. Doly M, Droy M-T, Christen
Y (Eds). Irvinn, Paris, France, 77–95 (2001).
64 Schwahn HN, Gekeler F, Kohler K et al.
Studies on the feasibility of a subretinal
visual prosthesis: data from Yucatan
micropig and rabbit. Graefe’s Archive Clin.
Exp. Ophthalmol. 239, 961–967 (2001).
65 Volker M, Shinoda K, Sachs H et al. In vivo
assessment of subretinally implanted
microphotodiode arrays in cats by optical
coherence tomography and fluorescein
angiography. Graefe’s Archive Clin. Exp.
Ophthalmol. Epub ahead of print (2004).
66 Ito Y, Yagi T, Kanda H et al. Cultures of
neurons on microelectrode array in hybrid
retinal implant. Proceedings of the IEEE
International Conference on Systems, Man
and Cybernetics (1999).
67 Kanda H, Yagi T, Nakatsu T, Watanabe M,
Uchikawa Y. A study on electrical
stimulation to visual nervous system in
visual prosthesis. Proceedings of the 26th
Annual Conference of the IEEE (2000).
68 Kanda H, Yagi T, Ito Y et al. Efficient
stimulation inducing neural activity in
retinal implant. Proceedings of IEEE
Systems, Man, and Cybernetics 4, 409–413
(1999).
69 Peterman MC, Bloom DM, Lee C et al.
Localized neurotransmitter release for use
in a prototype retinal interface. Invest.
Ophthalmol. Visual Sci. 44, 3144–3149
(2003).
70 Peterman MC, Mehenti NZ, Bilbao KV
et al. The artificial synapse chip: a flexible
retinal interface based on directed retinal
cell growth and neurotransmitter
stimulation. Artif. Organs 27, 975–985
(2003).
71 Ziegler D, Linderholm P, Mazza M et al.
An active microphotodiode array of
oscillating pixels for retinal stimulation.
Sensors and Actuators A: Physical 110, 11–17
(2003).
72 Kanda H, Morimoto T, Fujikado T et al.
Electrophysiological studies of the
feasibility of suprachoroidal-transretinal
stimulation for artificial vision in normal
and RCS rats. Invest. Ophthalmol. Visual
Sci. 45, 560–566 (2004).
73 Palanker D, Huie P, Vankov A et al.
Attracting retinal cells to electrodes for
high-resolution stimulation. Ophthalmic
Technol. SPIE 5314 (2004).
74 Humayun MS. Is surface electrical
stimulation of the retina a feasible approach
towards the development of a visual
prosthesis? PhD thesis, University of North
Carolina at Chapel Hill (1992).
75 Liu W, McGucken E, Vitchiechom K
et al. Dual unit visual intraocular
prosthesis. Proceedings of the 19th Annual
International Conference of the IEEE
Engineering in Medicine and Biology
Society (1997).
76 Humayun MS, Sato Y, Propst R, de Juan Jr
E. Can potentials from the visual cortex be
elicited electronically despite severe retinal
degeneration and a markedly reduced
electroretinogram? German J. Ophthalmol.
4, 57–64 (1995).
77 Humayun MS, de Juan E. Artificial vision.
Eye 12, 605–607 (1998).
78 Humayun MS, De Juan E Jr, Dagnelie G
et al. Visual perception elicited by electrical
stimulation of retina in blind humans.
Arch. Ophthalmol. 114, 40–46 (1996).
79 Majji AB, Humayun MS, Weiland JD et al.
Long-term histological and
electrophysiological results of an inactive
epiretinal electrode array implantation in
dogs. Invest. Ophthalmol. Visual Sci. 40,
2073–2081 (1999).
80 Liu W, McGucken E, Vichienchom K et al.
Retinal prosthesis to aid the visually
impaired. Proceedings of the IEEE
International Conference on Systems, Man
and Cybernetics (1999).
81 Liu W, McGucken E, Cavin R et al., A
retinal prosthesis to benefit the visually
impaired. In: Intelligent Systems and
Technologies in Rehabilitation Engineering.
Teodorescu H-NL, Jain LC (Eds). CRC
Press, FL, USA (2001).
82 Humayun MS, Weiland JD, Fujii GY et al.
Visual perception in a blind subject with a
chronic microelectronic retinal prosthesis.
Vision Res. 43, 2573–2581 (2003).
83 Johnson L, Perkins FK, O’Hearn T et al.
Electrical stimulation of isolated retina with
microwire glass electrodes. J. Neurosci.
Meth. (2004). In Press.
84 Liu W, Sivaprakasam M, Singh PR,
Bashirullah R, Wang G. Electronic visual
prosthesis. Artif. Organs 27, 986–995
(2003).
85 Rizzo JF, Wyatt J. Prospects for a visual
prosthesis. The Neuroscientist 3, 251–262
(1997).
86 Rizzo JF, Miller S, Denison T, Wyatt J.
Electrically-evoked cortical potentials
from stimulation of rabbit retina with a
microfabricated electrode array. Invest.
Ophthalmol. Visual Sci. 37, S707
(1996).
87 Rizzo J, Wyatt J, Loewenstein J, Kelly S,
Shire D. Perceptual efficacy of electrical
stimulation of human retina with a
microelectrode array during short-term
surgical trials. Invest. Ophthalmol. Visual
Sci. 44, 5362–5369 (2003).
88 Eckmiller R. Learning retina implants with
epiretinal contacts. Ophthalmic Res. 29,
281–289 (1997).
89 Eckmiller R, Becker M, Hunermann R.
Dialog concepts for learning retina
encoders. Proceedings of the International
Conference on Neural Networks (1997).
90 Becker M, Braun M, Eckmiller R. Retina
implant adjustment with reinforcement
learning. Proceedings of the 1998 IEEE
International Conference on Acoustics, Speech
and Signal Processing (1998).
Artificial human vision
www.future-drugs.com 13
91 Becker M, Eckmiller R, Hunermann R.
Psychophysical test of a tunable retina
encoder for retina implants. Proceedings of
the International Joint Conference on Neural
Networks (1999).
92 Baruth O, Eckmiller R, Neumann D.
Retina encoder tuning and data encryption
for learning retina implants. Proceedings of
the International Joint Conference on Neural
Networks (2003).
93 Eckmiller R, Becker M, Hunermann R.
Towards a learning retina implant with
epiretinal contacts. Proceedings of the IEEE
International Conference on Systems, Man
and Cybernetics (1999).
94 Walter P, Heimann K. Evoked cortical
potentials after electrical stimulation of the
inner retina in rabbits. Graefe’s Archive Clin.
Exp. Ophthalmol. 238, 315–318 (2000).
95 Hesse L, Schanze T, Wilms M, Eger M.
Implantation of retina stimulation
electrodes and recording of electrical
stimulation responses in the visual cortex of
the cat. Graefe’s Archive Clin. Exp.
Ophthalmol. 238, 840–845 (2000).
96 Suaning GJ, Lovell NH, Kerdraon YA.
Physiological response in Ovis aries
resulting from electrical stimuli delivered by
an implantable vision prosthesis.
Proceedings of the 23rd Annual International
Conference of the IEEE Engineering in
Medicine and Biology Society (2001).
97 Suaning GJ, Lovell NH, Kerdraon Y. Trans-
retinal electrical stimulation using a
neuroprosthesis: the effects of damage to
the R-Membrane. Proceedings of the Second
Joint Annual Conference and the Annual Fall
Meeting of the Biomedical Engineering
Society (2002).
98 Hallum L, Tsafnet G, Lovell N, Suaning G.
Artificial vision for the blind. Australasian
Sci. 30, 21–23 (2003).
99 Suaning GJ, Lovell NH, Kwok CY.
Fabrication of platinum spherical electrodes
in an intraocular prosthesis using high-
energy electrical discharge. Sensors and
Actuators A: Physical 108, 155–161 (2003).
100 Hallum LE, Taubman DS, Suaning GJ,
Morley JW, Lovell NH. A filtering approach
to artificial vision: a phosphene visual tracking
task. Proceedings of the World Congress on
Medical Physics and Biomedical Engineering
(WC2003), Sydney, Australia (2003).
101 Suaning GJ, Hallum LE, Chen SC, Preston
PJ, Lovell NH. Phosphene vision:
development of a portable visual prosthesis
system for the blind. Proceedings of the 25th
Annual International Conference of the
IEEE/EMBS, Cancun, Mexico (2003).
102 Veraart C, Wanet-Defalque M-C, Gérard B,
Vanlierde A, Delbeke J. Pattern recognition
with the optic nerve visual prosthesis. Artif.
Organs 27, 996–1004 (2003).
103 Archambeau C, Delbeke J, Verleysen M.
Classification of visual sensations generated
electrically in the visual field of the blind.
Proceedings of the 5th IFAC symposium on
Modeling and Control in Biomedical Systems,
Melbourne, Australia (2003).
104 Archambeau C, Delbeke J, Veraart C,
Verleysen M. Prediction of visual
perceptions with artificial neural networks
in a visual prosthesis for the blind. Artif.
Intel. Med. (2004). In Press.
105 Weiland JD, Humayun MS. Past, present,
and future of artificial vision. Artif. Organs
27, 961–962 (2003).
106 Cha K, Horch K, Normann R. Mobility
performance with a pixelised vision system.
Vision Res. 32, 1367–1372 (1992).
107 Hayes JS, Yin VT, Piyathaisere D et al.
Visually guided performance of simple
tasks using simulated prosthetic vision.
Artif. Organs 27, 1016–1028 (2003).
108 Thompson R, Barnett G, Humayun M,
Dagnelie G. Facial recognition using simulated
prosthetic pixelized vision. Invest. Ophthalmol.
Vision Sci. 44, 5035–5042 (2003).
109 Boyle JR, Maeder AJ, Boles WW. Can
environmental knowledge improve
perception with electronic visual
prostheses? Proceedings of the World Congress
on Medical Physics and Biomedical
Engineering (WC2003), Sydney (2003).
110 Dowling J, Maeder A, Boles W. Mobility
enhancement and assessment for a visual
prosthesis. Proceedings of SPIE International
Symposium on Medical Imaging, San Diego,
CA, USA (2004).
111 Loewenstein JI, Montezuma SR, Rizzo III
JF. Outer retinal degeneration: an electronic
retinal prosthesis as a treatment strategy.
Arch. Ophthalmol. 122, 587–596 (2004).
112 Lovie-Kitchin J, Mainstone J, Robinson J,
Brown B. What areas of the visual field are
important for mobility in low vision
patients? Clin. Vision Sci. 5 (1990).
113 Geruschat D, Turano KA, Stahl JW.
Traditional measures of mobility
performance and retinis pigmentosa.
Optometry Vision Sci. 75, 525–537 (1998).
114 Haymes S, Guest D, Heyes A, Johnston A.
Mobility of people with retinitis
pigmentosa as a function of vision and
psychological variables. Optometry Vision
Sci. 73, 621–637 (1996).
115 Warren DJ, Normann RA, Visual
neuroprostheses. In: Handbook of
Neuroprosthetic Methods. Finn WE, LoPresti
PG (Eds). CRC Press, FL, USA (2003).
116 Uhlig CE, Taneri S, Benner FP, Gerding H.
Elektrostimulation des visuellen Systems.
Ophthalmologe 98, 1089–1096 (2001).
117 Naik G, Regalado A. An inventor struggles
to restore sight. In: Wall Street Journal, NY,
USA, B1 (2003).
118 Pezaris JS, Reid RC. Microstimulation in
LGN produces focal visual percepts. To be
presented at the 34th Annual Meeting of
the Society for Neuroscience. 23–27
October, San Diego, CA, USA (2004).
Website
119 Meijer PBL. Vision technology for the
totally blind (2003).
www.seeingwithsound.com/
(Accessed December, 2004)
Affiliation
• Jason Dowling
Queensland University of Technology, School of
Electrical and Electronic Systems Engineering,
Faculty of Built Environment and Engineering,,
Brisbane, Australia
Tel.: +617 3864 1608
Fax: +617 3864 1516
j.dowling@qut.edu.au

More Related Content

What's hot

Bionic eye
Bionic eyeBionic eye
Bionic eyeMaitri
 
Basic overview of an artificial eye
Basic overview of an artificial eyeBasic overview of an artificial eye
Basic overview of an artificial eyeTabish Ansar
 
Artificial vision using embedded system
Artificial vision using embedded systemArtificial vision using embedded system
Artificial vision using embedded systemJegannath Alagendran
 
49540326 electronic-eye
49540326 electronic-eye49540326 electronic-eye
49540326 electronic-eyePavan Kumar
 
Wheelchair controlled by human brainwave using brain-computer interface syste...
Wheelchair controlled by human brainwave using brain-computer interface syste...Wheelchair controlled by human brainwave using brain-computer interface syste...
Wheelchair controlled by human brainwave using brain-computer interface syste...journalBEEI
 
Artificial Eye For The Blind
Artificial Eye For The BlindArtificial Eye For The Blind
Artificial Eye For The BlindVineeth Sundar
 
Intracerebral Hemorrhage (ICH): Understanding the CT imaging features
Intracerebral Hemorrhage (ICH): Understanding the CT imaging featuresIntracerebral Hemorrhage (ICH): Understanding the CT imaging features
Intracerebral Hemorrhage (ICH): Understanding the CT imaging featuresPetteriTeikariPhD
 
Wavelength April 2015 Volume 19 No.1
Wavelength April 2015 Volume 19 No.1Wavelength April 2015 Volume 19 No.1
Wavelength April 2015 Volume 19 No.1Jerry Duncan
 

What's hot (20)

Bionic eye
Bionic eyeBionic eye
Bionic eye
 
Argus ii bring sight to blind people
Argus ii bring sight to blind peopleArgus ii bring sight to blind people
Argus ii bring sight to blind people
 
Basic overview of an artificial eye
Basic overview of an artificial eyeBasic overview of an artificial eye
Basic overview of an artificial eye
 
THE ELECTRONIC EYE
THE ELECTRONIC EYETHE ELECTRONIC EYE
THE ELECTRONIC EYE
 
Bionic eye
Bionic eyeBionic eye
Bionic eye
 
Artificial vision
Artificial visionArtificial vision
Artificial vision
 
Visual prosthesis
Visual prosthesisVisual prosthesis
Visual prosthesis
 
Artificial vision using embedded system
Artificial vision using embedded systemArtificial vision using embedded system
Artificial vision using embedded system
 
Artificial eye
Artificial eyeArtificial eye
Artificial eye
 
49540326 electronic-eye
49540326 electronic-eye49540326 electronic-eye
49540326 electronic-eye
 
ARGUS II
ARGUS IIARGUS II
ARGUS II
 
Wheelchair controlled by human brainwave using brain-computer interface syste...
Wheelchair controlled by human brainwave using brain-computer interface syste...Wheelchair controlled by human brainwave using brain-computer interface syste...
Wheelchair controlled by human brainwave using brain-computer interface syste...
 
Artificial eye
Artificial eyeArtificial eye
Artificial eye
 
bioniceye
bioniceyebioniceye
bioniceye
 
ARITIFICIAL RETINAa
ARITIFICIAL RETINAaARITIFICIAL RETINAa
ARITIFICIAL RETINAa
 
Artificial Eye For The Blind
Artificial Eye For The BlindArtificial Eye For The Blind
Artificial Eye For The Blind
 
MAHE Equality OTR Poster
MAHE Equality OTR PosterMAHE Equality OTR Poster
MAHE Equality OTR Poster
 
Intracerebral Hemorrhage (ICH): Understanding the CT imaging features
Intracerebral Hemorrhage (ICH): Understanding the CT imaging featuresIntracerebral Hemorrhage (ICH): Understanding the CT imaging features
Intracerebral Hemorrhage (ICH): Understanding the CT imaging features
 
Wavelength April 2015 Volume 19 No.1
Wavelength April 2015 Volume 19 No.1Wavelength April 2015 Volume 19 No.1
Wavelength April 2015 Volume 19 No.1
 
Dankumar
DankumarDankumar
Dankumar
 

Similar to Artificial human vision[10.1.1.130.6725]

BIONIC EYE GIVE HOPE TO BLIND PEOPLS
BIONIC EYE GIVE HOPE TO BLIND PEOPLSBIONIC EYE GIVE HOPE TO BLIND PEOPLS
BIONIC EYE GIVE HOPE TO BLIND PEOPLSMohamed Amin Elaguech
 
Pupillometry Through the Eyelids
Pupillometry Through the EyelidsPupillometry Through the Eyelids
Pupillometry Through the EyelidsPetteriTeikariPhD
 
Smart Home for Paralyzed Aid
Smart Home for Paralyzed AidSmart Home for Paralyzed Aid
Smart Home for Paralyzed AidIRJET Journal
 
rapportfinale-170503124839.pptx
rapportfinale-170503124839.pptxrapportfinale-170503124839.pptx
rapportfinale-170503124839.pptxISaf3
 
rapportfinale-170504223205.pptx
rapportfinale-170504223205.pptxrapportfinale-170504223205.pptx
rapportfinale-170504223205.pptxISaf3
 
ALTERNATE EYES FOR BLIND advanced wearable for visually impaired people
ALTERNATE EYES FOR BLIND advanced wearable for visually impaired peopleALTERNATE EYES FOR BLIND advanced wearable for visually impaired people
ALTERNATE EYES FOR BLIND advanced wearable for visually impaired peopleIRJET Journal
 
RASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSON
RASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSONRASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSON
RASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSONIRJET Journal
 
Iaetsd silverline for the blind
Iaetsd silverline for the blindIaetsd silverline for the blind
Iaetsd silverline for the blindIaetsd Iaetsd
 
AI in Ophthalmology | Startup Landscape
AI in Ophthalmology | Startup LandscapeAI in Ophthalmology | Startup Landscape
AI in Ophthalmology | Startup LandscapePetteriTeikariPhD
 
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUE
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUEDIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUE
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUEIRJET Journal
 
SVM based CSR disease detection for OCT and Fundus Imaging
SVM based CSR disease detection for OCT and Fundus ImagingSVM based CSR disease detection for OCT and Fundus Imaging
SVM based CSR disease detection for OCT and Fundus ImagingIRJET Journal
 
Brain Computer Interfacing using Electroencephalography and Convolutional Neu...
Brain Computer Interfacing using Electroencephalography and Convolutional Neu...Brain Computer Interfacing using Electroencephalography and Convolutional Neu...
Brain Computer Interfacing using Electroencephalography and Convolutional Neu...ijtsrd
 
Essay On Optical Denoising
Essay On Optical DenoisingEssay On Optical Denoising
Essay On Optical DenoisingTasha Holloway
 
Diabetic Retinopathy Detection Design and Implementation on Retinal Images
Diabetic Retinopathy Detection Design and Implementation on Retinal ImagesDiabetic Retinopathy Detection Design and Implementation on Retinal Images
Diabetic Retinopathy Detection Design and Implementation on Retinal ImagesIRJET Journal
 
Design and implementation of smart guided glass for visually impaired people
Design and implementation of smart guided glass for visually  impaired peopleDesign and implementation of smart guided glass for visually  impaired people
Design and implementation of smart guided glass for visually impaired peopleIJECEIAES
 
Infrared Eye Tracking Contact Lens | Whitepaper
Infrared Eye Tracking Contact Lens | WhitepaperInfrared Eye Tracking Contact Lens | Whitepaper
Infrared Eye Tracking Contact Lens | WhitepaperAlejandro Franceschi
 

Similar to Artificial human vision[10.1.1.130.6725] (20)

BIONIC EYE GIVE HOPE TO BLIND PEOPLS
BIONIC EYE GIVE HOPE TO BLIND PEOPLSBIONIC EYE GIVE HOPE TO BLIND PEOPLS
BIONIC EYE GIVE HOPE TO BLIND PEOPLS
 
Pupillometry Through the Eyelids
Pupillometry Through the EyelidsPupillometry Through the Eyelids
Pupillometry Through the Eyelids
 
Smart Home for Paralyzed Aid
Smart Home for Paralyzed AidSmart Home for Paralyzed Aid
Smart Home for Paralyzed Aid
 
Ijetcas14 523
Ijetcas14 523Ijetcas14 523
Ijetcas14 523
 
rapportfinale-170503124839.pptx
rapportfinale-170503124839.pptxrapportfinale-170503124839.pptx
rapportfinale-170503124839.pptx
 
rapportfinale-170504223205.pptx
rapportfinale-170504223205.pptxrapportfinale-170504223205.pptx
rapportfinale-170504223205.pptx
 
21. 23758.pdf
21. 23758.pdf21. 23758.pdf
21. 23758.pdf
 
ALTERNATE EYES FOR BLIND advanced wearable for visually impaired people
ALTERNATE EYES FOR BLIND advanced wearable for visually impaired peopleALTERNATE EYES FOR BLIND advanced wearable for visually impaired people
ALTERNATE EYES FOR BLIND advanced wearable for visually impaired people
 
RASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSON
RASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSONRASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSON
RASPBERRY PI BASED SMART WALKING STICK FOR VISUALLY IMPAIRED PERSON
 
Iaetsd silverline for the blind
Iaetsd silverline for the blindIaetsd silverline for the blind
Iaetsd silverline for the blind
 
AI in Ophthalmology | Startup Landscape
AI in Ophthalmology | Startup LandscapeAI in Ophthalmology | Startup Landscape
AI in Ophthalmology | Startup Landscape
 
Bionic eye
Bionic eyeBionic eye
Bionic eye
 
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUE
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUEDIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUE
DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING TECHNIQUE
 
SVM based CSR disease detection for OCT and Fundus Imaging
SVM based CSR disease detection for OCT and Fundus ImagingSVM based CSR disease detection for OCT and Fundus Imaging
SVM based CSR disease detection for OCT and Fundus Imaging
 
Brain Computer Interfacing using Electroencephalography and Convolutional Neu...
Brain Computer Interfacing using Electroencephalography and Convolutional Neu...Brain Computer Interfacing using Electroencephalography and Convolutional Neu...
Brain Computer Interfacing using Electroencephalography and Convolutional Neu...
 
Essay On Optical Denoising
Essay On Optical DenoisingEssay On Optical Denoising
Essay On Optical Denoising
 
Diabetic Retinopathy Detection Design and Implementation on Retinal Images
Diabetic Retinopathy Detection Design and Implementation on Retinal ImagesDiabetic Retinopathy Detection Design and Implementation on Retinal Images
Diabetic Retinopathy Detection Design and Implementation on Retinal Images
 
Design and implementation of smart guided glass for visually impaired people
Design and implementation of smart guided glass for visually  impaired peopleDesign and implementation of smart guided glass for visually  impaired people
Design and implementation of smart guided glass for visually impaired people
 
Bionic eye
Bionic eyeBionic eye
Bionic eye
 
Infrared Eye Tracking Contact Lens | Whitepaper
Infrared Eye Tracking Contact Lens | WhitepaperInfrared Eye Tracking Contact Lens | Whitepaper
Infrared Eye Tracking Contact Lens | Whitepaper
 

Recently uploaded

Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsRoshan Dwivedi
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking MenDelhi Call girls
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Servicegiselly40
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEarley Information Science
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 

Recently uploaded (20)

Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live StreamsTop 5 Benefits OF Using Muvi Live Paywall For Live Streams
Top 5 Benefits OF Using Muvi Live Paywall For Live Streams
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
CNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of ServiceCNv6 Instructor Chapter 6 Quality of Service
CNv6 Instructor Chapter 6 Quality of Service
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 

Artificial human vision[10.1.1.130.6725]

  • 1. Review 10.1586/17434440.2.1.xxx © 2005 Future Drugs Ltd. ISSN 1743-4440 1 CONTENTS Blindness & mobility defined AHV technology & requirements Cortical stimulation Retinal stimulation Optic nerve devices AHV simulation studies Expert opinion Five-year view Information resources Key issues References Affiliation www.future-drugs.com Artificial human vision Jason Dowling Queensland University of Technology, School of Electrical and Electronic Systems Engineering, Faculty of Built Environment and Engineering,, Brisbane, Australia Tel: +617 3864 1608 Fax: +617 3864 1516 j.dowling@qut.edu.au KEYWORDS: artificial human vision, bionic eye, blind mobility, cortical stimulation, epiretinal stimulation, subretinal stimulation, visual prosthesis Can vision be restored to the blind? As early as 1929 it was discovered that stimulating the visual cortex of an individual led to the perception of spots of light, known as phosphenes [1]. The aim of artificial human vision systems is to attempt to utilize the perception of phosphenes to provide a useful substitute for normal vision. Currently, four locations for electrical stimulation are being investigated; behind the retina (subretinal), in front of the retina (epiretinal), the optic nerve and the visual cortex (using intra- and surface electrodes). This review discusses artificial human vision technology and requirements and reviews the current development projects. Expert Rev. Med. Devices 2(1), xxx–xxx (2005) Blindness & mobility defined Blindness In 1997 the World Health Organization esti- mated that there were close to 150 million indi- viduals with significant visual disability (or legally blind) worldwide, with 38 million of those totally blind (without light perception) [2]. In economically developed societies, the lead- ing cause of blindness and visual disability in adults is diabetic retinopathy. The most com- mon nonpreventable cause of blindness in the developed world is age- related macular degen- eration, which occurs in 25% of individuals 80 years of age and over [3]. Retinitis pigmen- tosa (RP) is a condition characterized by a grad- ual loss of the visual field, leading to the loss of peripheral vision and eventually to blindness. Approximately 90% of blind people live in the developing world. In general, more than two- thirds of today’s blindness could be prevented or treated by applying existing knowledge and tech- nology [4]. Nearly half of all blindness is due to cataract and a quarter of the world’s blindness is due to trachoma. Other major causes of blind- ness are glaucoma (a group of eye diseases char- acterized by an increase in intraocular pressure), trachoma and onchocerciasis (both parasitic dis- eases) and xerophthalmia (caused by vitamin A deficiency) [5]. It has been estimated that if all avoidable blindness in the USA in individuals under the age of 20 and working-age adults were prevented, the federal budget would save US$1 billion per year [6]. Blind mobility Blind mobility is affected by physical and mental health factors, such as multiple disa- bilities. Age is a mobility issue as many of the blind are elderly, which can restrict their abil- ity to use some mobility aids (such as a guide dog). Many congenitally blind children have hypotonia or abnormally low muscle tone (due to delayed sensorimotor development) which can affect mobility [7]. An additional problem, experienced by most blind patients without light perception, is falling out of phase with the 24 h day which often leads to severe sleep disorders. In 1996, The US National Research Council published the following summary of blind pedestrian needs in 1996 [8]: • Detection of obstacles in the travel path from ground level to head height for the full body width • Travel surface information • Detection of objects bordering the travel path • Distant object and cardinal direction information • Landmark location and identification information • Information enabling self-familiarization and mental mapping of an environment
  • 2. Dowling 2 Expert Rev. Med. Devices 2(1), (2005) Most existing mobility aids for the blind provide information in either tactile or auditory form. The two most widely used devices are the long cane and the guide dog, however, these devices have limitations; the long cane is only effective over a short range and a guide dog requires expensive training and maintenance. A number of electronic travel aids (ETAs) have also been developed, generally using ultrasound or lasers. These devices have usually failed commercially due to their expense, lack of benefit in improved mobility and cosmetic unattractiveness [9]. The objective assessment of technical aids for the blind (e.g., using Percentage of Preferred Walking Speed [10]) could provide useful information during device development and for consumers. AHV technology & requirements The development of an artificial human vision (AHV) system is a multidisciplinary field, involving inputs from neuroscience, engineering, computer science and ophthalmology, in addition to orientation and mobility specialists. With the exception of subretinal prostheses, most AHV sys- tems have similar system requirements. The main components, which will need to function in real time, are: • A Camera – required to capture and digitize image informa- tion from the environment. Charged Coupled Device (CCD)-based digital cameras are inexpensive, small and can be easily interfaced to other system components. An adaptive mechanism (such as an automatic gain in current video cam- eras) will also be required to allow the device to function at different levels of illumination [11]. CCD camera sensors have a linear response to light intensity. A logarithmic camera has a similar response to the human visual system and can reduce saturation in high contrast visual scenes. The use of a loga- rithmic camera in an AHV is being investigated in at least one current research project [12]. • Image processing – there will be more data retrieved from the camera than can be used in an AHV device. The image data will usually be preprocessed to reduce noise. After this, an information reduction (such as edge detection or segmenta- tion) or a scene understanding approach, attempting to extract information, can be used. Cortical prosthesis research by the Dobelle Institute (Portugal) has found that edge detec- tion and image reversal enhance the ability of subjects to rec- ognize important scene components (such as doorways) [13]. An alternate, and alternative, approach to traditional image processing is the use of neuromorphic vision systems, designed to mimic the design of the human visual system [14]. • Transmitter/receiver – a link is required from the cam- era/image processing components to the stimulator and elec- trode array, which are usually located inside the body. Percuta- neous connections have been used for most research due to their simplicity and reliability [15], however, the risk of chronic infection is higher with this type of connection. The Dobelle Institute system uses a percutateous connecting pedestal for connection to the image processing unit (a notebook PC). A transcutaneous connection, as used in cochlear implants, uses radiofrequency telemetry to send data and power to the embedded stimulator, reducing the risk of infection. Most AHV research projects plan to eventually use transcutaneous connections. Reverse telemetry can also be used to provide details of stimulation voltage waveforms, impedance measure- ments and reconstruction of stimulation voltage waveforms [16]. A good description of a high efficiency transcutaneous data link for implanted electronic devices is provided by Troyke and Schwan [17]. • Stimulator/electrodes – an electrode is a thin wire, which allows a small amount of precisely controlled electrical cur- rent to pass through it. Electrodes can be used for either stimulation or recording the electrical activity of the brain. The purpose of the stimulator is to send current through multiple electrodes. There are two main types of electrodes discussed in the AHV literature; surface electrodes, which lie flat against the stimulation/recording target and penetrating electrodes, which are inserted inside the stimulation/record- ing target. The biocompatability, long-term effectiveness and safe threshold levels for implanted electrodes need to be carefully considered. Cortical stimulation In the functioning human vision system, two types of photore- ceptors in the retina (rods and cones) are activated by light, which has been focused by the lens and cornea in the eye. Elec- trical signals from these photoreceptors are then processed through a layer of bipolar and ganglion cells within the retina, before passing to the optic nerve [18]. The amount of informa- tion entering the eye is reduced considerably - there are over 120 million photoreceptors and only about 1 million ganglion cells [19]. Most of the signals from the optic nerve pass through the lateral geniculate body to the visual cortex, although, approxi- mately 20–30% of fibers connect to the superior colliculus, which appears to be responsible for eye movements [20]. Cortical-based AHV systems use either surface or intracorti- cal stimulation, using penetrating electrodes. Cortical stimula- tion is the only treatment available for blindness caused by glaucoma, optic atrophy or diseases of the central visual path- ways, such as brain injuries or stroke. The main negative feature of a cortical implant is the lack of preliminary processing by the brain, particularly in the retina where much of the information reduction takes place. Most research regarding AHV has focused on sending a cap- tured image to the brain as a bitmap representation. The bitmap approach to cortical devices has been questioned [21]. Research performed by Hubel and Weisel in macaque monkeys has found that, in addition to spatial location of a stimulus in the visual field, neurons in the visual cortex are selective for spatial, tempo- ral, chromatic and binocular cues [22]. A greater knowledge of cortical physiology may be required before a cortical prosthesis provides useful vision. Evidence has also been found to suggest that there may be specialized cortical areas for the analysis of biologically important images (such as faces) [23].
  • 3. Artificial human vision www.future-drugs.com 3 Cortical surface stimulation The early developments in cortical prostheses involved surface electrode arrays. The first person to expose the human occipital pole to electrical stimulation was the German researcher For- ester in 1929, who noticed that stimulation caused the subject to see a spot of light in a position that depended on the site of stimulation [1]. Brindley & Lewin Brindley and Lewin published the results of a groundbreak- ing study on cortical stimulation in 1968. In their study, a 52-year-old legally blind subject was implanted with an array of 80 platinum electrodes, a design which had previously been tested in baboons. These electrodes were stimulated by pulsed radio signals from an oscillator. Stimulation of these electrodes produced discernible phosphenes [24]. Brindley and Lewin suggested that there was probably no flicker fusion frequency for this implant. They also found that phos- phenes moved with eye movements and that phosphene per- ception usually (but not always) stopped when stimulation ceased. Stimulation of one electrode was found to produce multiple phosphenes and when multiple electrodes in close vicinity were activated, a larger, straight light phosphene was produced. Unfortunately, the monophasic stimulus pulses used long-term in these earlier studies were also likely to cause irreversible damage at the electrode-tissue interface [25]. Dobelle & Mladejovsky Brindley and Lewin’s research inspired pioneering work involving 37 human subjects by Dobelle and Mladejovsky in 1974, where electrical stimulation was applied to patients hospitalized for cranial surgery [26]. Supporting Brindley and Lewin’s work, they found eye movements caused phosphenes to move and multiple phosphenes could be produced from a single electrode. However, Dobelle and Mladejovsky found that constant stimulation caused phosphenes to fade, sug- gesting that phosphenes need to be refreshed. In a later paper, it was reported that subjects were able to read electrode- induced Braille characters more efficiently than using their tactile sense [27]. In 2000, Dobelle published a paper describing a subject who had been using a cortical visual prosthesis system for over 20 years [13]. The system used a 64-channel electrode array, which had been implanted on the mesial surface of the subject’s right occipital lobe in 1978. When stimulated, each electrode produced one to four closely spaced phosphenes. The stimula- tion parameters and phosphene locations had been stable for the past 20 years, however, the electrode thresholds required a 15-min recalibration every morning. This system utilized a black and white camera connected to a notebook computer. Cables from the notebook were connected to a percutaneous connecting pedestal, which interfaced to the microcontroller, stimulus generator and electrode array. Dobelle reported that frame rates of around 4 fps have been found to be optimal. The subject has a visual acuity of approximately 20/200. Bionic eye research project Although research in the early 1990s moved towards intrac- ortical stimulation, a recently commenced project at the University of New South Wales ([NSW], Australia) is investi- gating the use of technology adapted from cochlear implants (which generally use surface electrodes). An in vivo model has been reported, in which the transcallosal evoked response to cortical stimulation on the opposite hemisphere. Future psychophysical experiments in a human subject are planned [28,29]. Intracortical stimulation National Institute of Health The Neuroprosthesis Program at the US National Institute of Health (NIH) was the first to publish research concerning the use of intracortical stimulation to produce phosphenes. In this study by Bak and colleagues, three normally sighted patients, undergoing occipital craniotomies for other conditions, were tested for an hour each [30]. Surface stimulation produced the same phosphenes described by Dobelle and Brindley. Following this, a dual microelectrode was inserted to level 4B in the pri- mary visual cortex and stimulation applied. Unlike surface elec- trodes, the intracortical electrode phosphenes did not flicker. An important finding from this research was the discovery that intracortical stimulation required 10–100 times less electrical current to produce phosphenes than surface electrodes. In addi- tion, intracortical electrodes located as closely as 500 µm could evoke distinct phosphenes. A more detailed experiment by the NIH team was described in 1996 by Schmidt and colleagues [31]. 38 microelectrodes were inserted into the right visual cortex of a 42-year-old woman for 4 months. The patient, who had been blind for 22 years, was consistently able to perceive phosphenes at stable positions in visual space. Phosphenes were produced with 34 of the microelectrodes, at thresholds usually at 25 µA. It was found that these phosphenes did not flicker and changing the stimulus amplitude, frequency and pulse duration could change phosphene brightness. A perception of depth from the stimula- tion was also reported and as the stimulation level was increased, the phosphenes generally changed color (white, yel- lowish and grayish). Supporting earlier research, phosphenes moved with eye movements. Schmidt and colleagues suggested that electrodes could be placed five times closer than surface stimulation. An important result of this study concerned after- discharge; one phosphene was observed for up to 25 min after cessation of stimulation, which suggests that even small electri- cal currents from repeated, patterned stimulation may be epi- leptogenic. At least six of the electrode leads broke during the study, due to accidental movement of the patient during sleep, which limited testing on pattern recognition. The percutaneous leads and electrodes were removed after 4 months. The NIH Neuroprosthesis Program was discontinued by 2001 [32]. However, there is continuing collaboration with the intracortical visual prosthesis team at the Illinois Institute of Technology (IL, USA).
  • 4. Dowling 4 Expert Rev. Med. Devices 2(1), (2005) University of Utah The University of Utah (UT, USA) currently has an active intracortical research group led by Richard Normann. This team has focused mainly on electrode array design for stimula- tion and recording, behavioral experiments and psychophysical experiments. The University of Utah has developed an array of 100 pene- trating cortical electrodes, each 1.5 mm in length and separated by 400 µ. This length has been selected to reach level 4Cb of the visual cortex, where neurons have the smallest and simplest receptive fields and where lower thresholds can be used for gen- erating phosphenes [33]. Manual insertion of the array was found to cause cortical deformation, therefore, a pneumatic insertion device has also been developed and tested [34]. The biocompatibility of this array has been extensively evaluated and arrays have been inserted for up to 14 months in cats [35]. The Utah electrode array (UEA) has been investigated as a recording structure for potential brain-computer interfaces [36] and recently for investigating representations of simple visual stimuli in the cat visual cortex [37]. A modification of the UEA is available which has graded electrodes, allowing stimulation and recording to be conducted in both horizontal and vertical directions [38]. Cortical implant for the blind The Cortical Implant for the Blind (CORTIVIS) project, com- menced in 2001, is lead by Edwardo Fernandez of the Univer- sity of Miguel Hernandez (Spain), and involves researchers from Spain, Germany, Austria, France and Portugal. The group has investigated the use of the UEA in animal experiments (cats, rabbits and rats) over a period of 12 h to 6 months. The electrodes were found to be well-tolerated by the cortex, despite some inflammatory responses in the vicinity of the electrode tracks [39]. In order to develop a methodology to identify feasibility of a cortical prosthesis for a patient and the preferred location for the prosthesis, Fernandez and colleagues have used transcranial magnetic stimulation (TMS) to evoke phosphenes in 13 legally blind and 19 normally sighted patients [40]. The advantage of TMS is that it is painless and noninvasive. In total, 28-posi- tions arranged in a 2 × 2 cm grid over the occipital area were stimulated and phosphenes were perceived by 94% of the nor- mally sighted participants. However, only 54% of the legally blind patients perceived phosphenes (even after adjusting the stimulation parameters). Evoked phosphenes were topographi- cally organized and the mapping results could generally be reproduced between participants. The CORTIVIS project is also developing a retina-like proc- essor, designed to simulate the functioning of the human retina to produce optimal electrode stimulation at the cortical level [41]. The output of this system is a series of spike patterns, which could be used to stimulate neurons in the visual cortex. In a study of brain plasticity by the CORTIVIS group, fMRI was used to study the differences in reading Braille in normally sighted and congenitally blind people [42]. Unlike normally sighted participants, activation of the occipital cortex was recorded in blind participants. The authors note that where cross modal plasticity has been activated in this way, the processing of tactile information is associated with significantly improved tactile reading skill. Intracortical visual prosthesis The intracortical visual prosthesis (Illinois Institute of Technol- ogy) project is led by Philip R Troyk, Director of the Laboratory of Neuroprosthetic Research, and involves collaboration with other institutions and former staff from the NIH Neuroprosthe- sis Program. Their approach is to use small implanted arrays (consisting of eight electrodes) in groups of intracortical elec- trodes which tile the visual cortex. In a recent paper, Troyke and colleagues describe an interesting animal experiment, using a male macaque, designed to investigate visual prosthesis function- ing with this tiled design [21]. Prior to implantation, the animal was presented with a flash of light, and then trained to continue staring at the flash location (so only the memory of the flash remains); 192 tiled electrodes were then implanted into area V1 of the animal. Only 114 electrodes were functioning post implantation. The receptive field coordinates for each implanted electrode were estimated and a phosphene was generated in that location. The macaque received a reward if its eye position moved within 2° of the known receptive field for that electrode. Retinal stimulation The most common nonpreventable reason for blindness in the developed world is age-related macular degeneration. This con- dition affects the retina at the back of the eye, while leaving the remaining components of the visual system intact. Retinal pros- thesis research aims to use the remaining visual pathway com- ponents to provide partial restoration of sight. An Australian researcher, in 1956, was the first to describe placing a light sen- sitive selenuium plate behind the retina of a blind individual and restoring some intermittent light sensation [43]. There are significant advantages to the retinal approach to AHV. Implantation of a cortical prosthesis requires intercranial neurosurgery, which may expose a patient to higher risk. At a fine scale, the mapping of a stimulus to the appropriate place on the cortex may be variable between subjects [44]. An alternate approach is to stimulate the eye rather than the brain. A retinal prosthesis could assist people who still have a functioning optic nerve. In post-mortem examinations of people without light perception, 80% of the optic nerve and approximately 30% of the ganglion cell layer was found to be functioning [45]. How- ever, there may also be continual remodeling by the retina which could lead to spatial corruption and cryptic synapse formation after a retinal implant has been attached [46]. The two types of retinal prosthesis, discussed in the following sections, are subretinal and epiretinal. Subretinal stimulation There are approximately 130 million receptors in the retina, which are reduced down to 1 million fibers in of the optic
  • 5. Artificial human vision www.future-drugs.com 5 nerve. This information reduction takes place in the inner nuclear layer (consisting of amacrine, bipolar and horizontal cell nuclei) of the retina. Targeting this layer, a subretinal implant is located behind the photoreceptor layer of the retina and in front of the pigmented layer called the retinal pigment epithelium. Therefore, the subretinal approach, unlike the epiretinal, may be capable of utilizing the information reduc- tion functions in the retina, provided the electric field produced does not interfere with other retina components (such as the ganglion cell layer). Optobionics Corp. Since the 1980s Alan and Vincent Chow have been investigat- ing subretinal microphotodiodes for subretinal stimulation [47] and their company, Optobionics Corp. (USA), was awarded the original patent for an artificial subretinal device in 1991 [48]. In an early animal experiment, an implanted strip electrode was inserted behind the photoreceptor layer in a rabbit’s eye. The evoked electrical response of stimulation to the operated eye was compared with the normal eye by presenting a flash of light and then measuring the response from the scalp over the visual cortex. It was found that a brief electrical spike was gen- erated during stimulation [49]. This experiment demonstrated the feasibility of converting light into electrical energy using subretinal stimulation to produce a cortical electrical evoked response [50]. A further animal experiment focused on the long-term bio- compatibility of subretinal stimulation [51]. Cats were selected for this study as they have both retinal and choroidal circula- tion (unlike rabbits). The implants, approximately 50 µm in thickness, with a diameter of 2–2.5 mm, consisted of a doped and ion implanted silicon substrate, surrounded by a gold elec- trode layer. Following implantation in the cat’s right eye, the arrays were evaluated over 10 to 27 months. During this time, a gradually decreased response to light was found, due to the dis- solution of the gold electrode layer. In addition, the silicon sub- strate blocked choroidal nourishment to the retina, which led to a degeneration of the photoreceptors, which are highly dependent on blood supply for oxygenation. The loss of pho- toreceptors may not be important as they may be damaged any- way. However, design work commenced on a fenestrated design in order to improve the flow of nutrients from the choroid to the retina [51]. The positive findings from this study were that the implant maintained a stable position over time and there was no rejection, inflammation or degeneration of the retina outside the location of the implant [52]. By June 2000, Optobionics received approval from the US Food and Drug Administration (FDA) to commence safety and feasibility trials in six patients [53]. The artifical silicon retina (ASR), consisting of 5000 microelectrode-tipped microphoto- diodes in a 2-mm diameter device, was implanted into the right eyes of six legally blind patients with RP. During a follow-up period of 6–18 months, all ASRs were found to function elec- trically and there were no signs of rejection, inflammation, ero- sion, retinal detachment or migration of the device. During this study it was found that all patients experienced improvements in visual function (such as improved color perception) and there were also unexpected improvements in retinal areas dis- tant from the implant. These improvements may have been due to neurotropic effects, rather than the device and further stud- ies are intended to explore this improvement. Additional planned research will examine the implant and age-related mac- ular degeneration, and whether the neurotropic effect can be effective in earlier stages of RP [53]. An issue with the Optobionics research has been the lack of an experimental control (by implanting an inactive device or con- ducting sham surgery) to evaluate against the ASR. Pardue and colleagues have recently conducted research addressing this issue [54]. Their experiment involved 15 RCS rats, which have a genetic mutation resulting in photoreceptor degeneration over approximately 77 days. The rats received either the ASR device, an inactive device, sham surgery or no surgery. The outer retinal function was assessed with weekly electroretinogram (ERG) recordings. After 4–6 weeks there was a 30–70% higher b-wave amplitude response with the ASR compared with the inactive device, indicating that the ASR device appears to produce some temporary improvement in retinal function. However, after 8 weeks, there was no significant difference in b-wave amplitude response between the inactive and active devices. At 8 weeks, there was a significantly greater number of photoreceptors remaining for rats who had received either the ASR or inactive device compared with those rats that had undergone sham sur- gery or no surgery. Pardue and colleagues suggest that enhanced protective effects from the ASR may be possible by altering the design to increase current levels or by increasing environmental light levels to produce higher stimulation levels [54]. MPDA project After collaborating with the Optobionics group between 1994 and 1995 [55], a Southern German team led by the University Eye Hospital in Tübingen, was formed in 1995 to develop a sub- retinal prosthesis. In 1996, the Institute of Micro-Electronics in Stuttgart developed a prototype microphotodiode array (MPDA) containing 7600 microelectrodes on a 3-mm disc, 50 µm in diameter [56]. In vitro techniques have been predominantly reported by the German subretinal project. The first generation of MPDAs were tested using a sandwich technique, which involved the retinae from newly hatched chickens being adhered to a recording multielectrode array (the ganglion cell side was adhered). The photoreceptor outer seg- ments were then damaged and an MPDA placed onto the ret- ina. This technique allowed the recording of stimuli from the MPDA [56]. A later study examined degenerated rat retinae [57]. The retinae were removed and cut into 5 × 5 mm segments, then attached to a 60-electrode microelectrode array. Beams of white light were flashed onto the MPDA and it was found that intrinsic ganglion cell activity could be recorded even with a highly degenerated retinal network. Further experi- ments have demonstrated that it should be possible to transform the basic features of images, such as points, bars and edges into
  • 6. Dowling 6 Expert Rev. Med. Devices 2(1), (2005) activity of the existing retinal network; which suggests that shape perception and object location may be possible with a subretinal device [58]. However, recent epiretinal results from Rizzo and col- leagues have not confirmed the pattern perception of phosphenes from patterned electrical stimulation of the retina [59]. Further tests have been conducted in order to test the bio- compatibility stability of the MPDA. Various materials were placed in Petri dishes with the retinae of pigmented rats. For comparison, a control dish containing only the retinae and solution was used. None of the MPDA materials demonstrated a toxic effect. Retinal cell cultures from rats were also used by Guenther and colleagues to screen for technical implant mate- rial [60]. Although most materials (including iridium and silica) showed good biocompatibility, a reduced biocompatibility was found for titanium materials. Interestingly, a later paper by Hammerle and colleagues found that titanium nitrate had excellent biostability, both in vivo and in vitro [61]. Similarly to the Optobionics research, electroretinography was performed in rabbits and rats in order to measure the effec- tiveness of the MPDA. As the MPDA are sensitive to infrared light, it is possible to stimulate the retina and measure the cur- rent discharged from the MPDA. This method should be useful for the localizing electrical responses from an MPDA. As with the early Optobionics MPDA [49], Zrenner and col- leagues found in their early work that metabolic processes in the photoreceptor layer can be disrupted by the MPDA and they placed very thin holes in their device to allow nutrients to be passed [56]. As natural photoreceptors are far more efficient than photo- diodes, visible light is not powerful enough to stimulate the MPDA. Therefore, infrared enhancement of the photodiode arrays (by inserting an additional layer in the array) has been suggested to enhance the stimulation current [43]. The German team commenced in vivo experiments in 2000, when evoked cortical potentials were measured from Yucantan micropigs and rabbits. The micropigs have eyes which are com- parable in size and function with human eyes [62]. At 14 months post implantation, the implant and retina surrounding it were examined and there were no noticeable changes to anatomical integrity [63]. However, because the existing MPDA does not function in ambient light conditions, an electrode foil prototype with similar properties was implanted. The micropigs required a higher threshold level than the rabbits [64], however, the implants were successful in producing evoked cortical potentials in half of the animals tested. The thresholds identified in this study were similar to those required in epiretinal stimulation [64]. The latest reports from this group concern the results of in vivo experiments in cats. Volker and colleagues described the use of optical coherence tomography to examine the morpho- logic and circulatory conditions of the cat neuroretina and it’s interface with an implanted MPDA [65]. Other subretinal methods A team of Japanese researchers, led by Tohru Yagi of Nagoya University has been investigating the attachment of cultured neurons onto electrodes and then guiding the axons towards the CNS. As this hybrid retinal implant will not require retinal ganglion cells or an optic nerve, it could be useful for patients with diseases in these components of the visual pathway. Results of an experiment with neural cells obtained from the spinal cords of a 3–4- week-old rat are described by Ito and col- leagues [66]. Another study by this team investigated electrical stimulation requirements by stimulating the lateral geniculate nucleus in a cat. Recordings of the evoked potentials from the cat’s cortex found that pulse amplitude was a more important factor than pulse duration and that a biphasic pulse pattern was the most effective stimulation pattern [67]. Further studies have suggested using a computer model for the 3D configuration of electrode arrays [68]. Peterman and colleagues are also investigating the use of directed cell growth and localized neurotransmitter release for a retinal interface. They have been successful in directing the growth of neurons in a defined direction, using micropatterned substrates [69] and have demonstrated that the localized chemi- cal stimulation of excitable cells is feasible. The authors suggest that chemical stimulation can have a similar spatial resolution as an electrical stimulation but with the ability to mimic the major functions of synaptic transmission [70]. An interesting design for a MPDA has been recently reported by Ziegler and colleagues, who propose a device where each pixel acts as an independent oscillator whose frequency is controlled by light intensity [71]. Kanda has suggested an alternative stimulation method for a retinal device: suprachoroidal-transretinal stimulation (STS), which does not involve the attachment of electrodes to the ret- ina [72]. This should result in less complicated surgery for blind patients. The anodic-stimulating electrode is located on the choroidal membrane and the cathode is located in the vitreous body. This technique has been used in animal experiments where evoked potentials were recorded from the superior collic- ulus in rats. The authors are planning long-term, in vivo bio- compatability studies [72]. However, it has been demonstrated that neural cells should not be separated from electrodes by more than a few µm, due to overheating, crosstalk between neighboring pixels and electrochemical erosion [73]. The thick- ness of the choroid is approximately 400 µm, therefore, supra- choroidal placement precludes close proximity between elec- trodes and cells, which will limit the potential visual acuity of the STS approach. Epiretinal stimulation An epiretinal device involves a neurostimulator chip being implanted against the ganglion cells in the retina. This approach attempts to stimulate the remaining retinal neurons of patients who are blind from end-stage photoreceptor diseases. Retinal implant Formerly from the Wilmer Ophthalmological Institute, John Hopkins Hospital, Mark Humayun and Eugene De Juan Jr are currently based at the Doheny Retina Institute at the University
  • 7. Artificial human vision www.future-drugs.com 7 of Southern California (CA, USA). Humayun’s PhD thesis demonstrated that a visually impaired person could perceive phosphenes during stimulation of the retina [74]. The engineer- ing aspects of developing electronic stimulators and supporting electronics have been mainly conducted by Wentai Liu and his team at North Carolina State University [75]. In the first experiment to demonstrate successful phosphene perception from local electrical stimulation of the retina, 14 patients (12 with RP, and two with age-related macular degeneration) had their inner retinal surface electrically stimu- lated under local anaesthesia [76]. The responses were retinotop- ically correct in 13 of the patients, with the remaining patient, blind from birth, unable to distinguish anything apart from flashing light. The phosphenes were perceived exactly with the timing of the electrical stimulation [76]. Flicker fusion was tested in two subjects and found to occur at approximately 50 Hz; the phosphenes also appeared brighter at higher fre- quency [77]. An earlier paper also reported on five of these patients [78]. In 1999, a further experiment was reported on nine subjects, involving nine or 25 electrode array electrodes [45]. The elec- trodes were placed against the retinal surface and handheld in place using a silicon-coated cable with the guidance of a surgi- cal microscope. The flicker fusion frequency was found to be 50 Hz in two subjects and 40 Hz in another two subjects (the remaining subjects were not tested). By scanning with the head- mounted camera, subjects were able to perceive simple shapes in response to stimulation (e.g., horizontal and vertical lines and ‘U’ and ‘H’ shapes). A report on the long-term biocompatibility of an implanted, inactive epiretinal device was also published in 1999 [79], in which 25 platinum disc-shaped electrodes in a silicon matrix were implanted into the retinal surface of four normally sighted dogs. The arrays were held in place using metal alloy tacks. Over a 6-month period the implants were biologically tolerated well, mechanically stable and could be securely attached to the retinal surface [79]. A design for a functioning retinal prosthesis system has been described in joint papers by Liu and colleagues at North Caro- lina State University and the John Hopkins team in 1999 [80,81]. The proposed device, termed the multiple unit artificial retina chipset (MARC), consists of the extraocular unit containing the video camera and video processing board, connected by a tele- metric inductive link to the intraocular unit. The power and signal transceiver, stimulation driver and electrode array are contained in the intraocular unit. In 2003, after obtaining FDA approval, the Doheny Eye Institute team and Second Sight (CA, USA), a company formed by former North Carolina State University team member, Robert Greenberg and Alfred Mann, developed the first human epiretinal implant. A subject with advanced RP received an implanted 4 × 4-electrode array, connected by a subcutaneous cable to an extraocular unit which was surgi- cally attached to the temporal area of the skull. A wireless link transferred data and power from a belt-worn visual- processing unit to the extraocular unit. All 16 electrodes produced phosphenes and the subject was able to detect ambient light, motion and correctly recognize the location of phosphenes (e.g., left vs. right or upsidedown). Future plans are to develop more complex stimulation control and provide a higher number of electrodes [82]. The use of micro- wire glass is also being investigated as a method to assist with the mapping of flat microelectric stimulator chips and curved neuronal tissue [83]. Retinal prosthesis project Following earlier collaborative work with Humayan and deJuan, Wentai Liu and his team have continued with the development of an epiretinal prosthesis. A 60-electrode stimu- lating chip, which integrates power transfer and back telemetry, has been developed [84]. One of the advantages of this system would be removing the requirement for the cable connecting the intraocular and extraocular units described in the Doheny Eye Institute team implant [82]. Second Sight Second Sight is a company formed by Robert Greenberg (from the Retinal Prosthesis Project led by Wentai Lui) and Alfred Mann (also the founder of the Cochlear Implant company Advanced Bionics). Second Sight developed the epiretinal device implanted into a blind patient by the Doheny Eye Institute team, as described previously [82]. Boston retinal implant project This project is a collaboration between Joseph Rizzo (Massa- chusetts Eye and Ear Infirmary, Harvard Medical School, MA, USA) and John Wyatt (Massachusetts Institute of Tech- nology, MA, USA) to develop an epiretinal prosthesis. The main difference between their approach and Humayun and colleagues, is the use of a miniature laser, located in a pair of glasses, to transfer power and data to a stimulator chip. Although the laser is required to be accurately directed to the implant and needs to cope with blinking, it will not be effected by electronic noise interference (unlike radiofre- quency transmission) [85]. Electrically invoked cortical poten- tials have been successfully recorded from stimulation of a rabbit retina [86]. Recently, the microelectrode arrays have been tested with six patients, five of them legally blind from RP. The sixth patient was normally sighted, however their eye required removal due to orbital cancer. All patients were able to per- ceive phosphenes in response to stimulation, however, the results were mixed. Threshold charge densities were found to be significantly higher and above safe levels, in blind patients compared with the normally sighted patient [59]. In this study, it was often found that multiple phosphenes would be presented when a single electrode was stimulated, for example, 60% of tests in one subject. In addition, multi- ple-electrode stimulation did not reliably produce matching phosphenes [87].
  • 8. Dowling 8 Expert Rev. Med. Devices 2(1), (2005) EPI-RET Rolf Eckmillar from the University of Bonn (Germany), leads the German EPI-RET project, which involves 14 research groups. The aim of their first epiretinal device is to allow blind people to identify the location and shape of large objects [88]. Their approach involves replicating a healthy retina with a reti- nal encoder device, which consists of a photosensor array of 10,000–100,000 pixel inputs and simulated output of 100–1000 ganglion cells. Eventually, this project aims to embed this encoder into a contact lens. The output from the encoder is then sent to an implanted retinal stimulator. Eckmilliar and col- leagues suggest that a future epiretinal prosthesis will be tuned (to optimize phosphene perception) during a dialog between a subject and their retinal encoder [89–92]. More recently, a learn- ing active vision encoder (LAVIE) has been proposed to com- pensate for spontaneous eye (drift or nystagmus) and head movements in the absence of vision. A smooth pursuit function is also being investigated [93]. Flat platinum microelectrodes have been developed for the EPI-RET project and evoked cortical potentials have been recorded after stimulation in rabbits [94]. In 2000, Hesse and colleagues reported problems with the fixation of the electrode film and the retina in a cat experiment, partly due to the very thin posterior sclera [95]. Research into alternate electrode shape and fixation techniques is planned. The company Intelligent Implants was formed in 1998 to commercialize research by the EPI-RET group [93]. University of NSW and University of Newcastle Vision Prosthesis Project Australian research on an epiretinal prosthetic vision system is occurring at the Vision Prosthesis Project at the Universities of NSW and Newcastle, led by Gregg Suaning and Nigel Lovell. This project aims to extend concepts from the development of cochlear prostheses. A 100-channel neurostimulator circuit for the retina has been developed, which uses bidirectional radiofrequency telemetry for transferring data and power [16,44]. A data format protocol has been introduced. The 100-channel neurostimulator was found to function and successfully produce evoked potentials in sheep [96–98]. An inexpensive technique for manufacturing platinum spherical electrodes has also been proposed [99]. Recently, an hexagonal mosaic of intraocular electrodes has been suggested by Hallum and colleagues to optimize the place- ment of electrodes and therefore improve visual acuity in pros- thesis patients [100]. A prototype for an epiretinal system, capa- ble of 840 stimulating events per second, using this electrode placement combined with a filtering approach to image processing, has also been described [101]. Optic nerve devices The optic nerve is a collection of 1 million individual fibers running from the retina to the lateral geniculate body. This nerve can be reached surgically and could provide a suitable location for implanting a stimulation electrode array. Microsystems-Based Visual Prosthesis & OPTIVIP projects (ESPRIT programme of the European Union) The Microsystems-Based Visual Prosthesis (MiVip) team, led by Claude Veraat of the Neural Rehabilitation Engineering Laboratory, Université Catholique de Louvain in Belgium, has developed a prosthesis system which includes a spiral cuff silicon electrode to stimulate the optic nerve. In February 1998, a 59-year-old blind patient was implanted with the optic nerve visual prosthesis. Localized phosphenes were successfully produced throughout the visual field and changing pulse duration or amplitude could alter their bright- ness. After training it was reported that the patient could per- ceive different shapes, line orientations and even letters [102]. However, this system only displays one phosphene at a time and pattern recognition was achieved by the subject scanning with a head-mounted camera over a time period of up to 3 min. An interesting feature of this study has been the different phos- phene shapes that have been generated; if these could be reliably replicated they might add a useful dimension to prosthetic vision. The cuff electrode consists of four platinum contacts and is able to adapt continuously to the diameter of the optic nerve. Initially a subcutaneous connector conducted stimulation of the electrode, however, in August 2000, a neurostimulator and antenna were implanted and connected to the electrode. An external controller with telemetry was then used for stimulating the cuff electrode. Recently, an adaptive neural network tech- nique has been proposed to classify the phosphenes generated by this device [103,104]. AHV simulation studies Due to the difficulty in obtaining experimental participants with an AHV device implanted, a number of simulation studies have been conducted with normally sighted subjects. However the simulation approach assumes that normally sighted people are receiving the same experience as a blind recipient of an AHV system. Weiland and Humayun have stated that human implant studies are the only method of verifying the effective- ness of a visual prosthesis and have questioned the validity of simulation studies [105]. A frequently cited prosthetic vision simulation was con- ducted in 1992 at the University of Utah by Cha and col- leagues, in order to calculate the minimum number of phos- phenes required for adequate mobility [106]. The pixelized vision simulator device consisted of a video camera connected to a monitor in front of the subject’s eyes. A perforated mask was placed on the monitor to reproduce the effect of individual phosphenes. The artificial environment consisted of an indoor maze, which contained paper column obstacles. Walking speed and frequency of contact were used as dependant variables. This research found that a 25 × 25 array of phosphenes, with a field of view of 30° would be required for a successful device. The simulation display employed by Cha and colleagues used a simple television-like display. Hayes and colleagues have described a more sophisticated approach [107], in which two different image-processing applications were used to display
  • 9. Artificial human vision www.future-drugs.com 9 simulated phosphenes to a seated subject, who wore a head- mounted display. The first image processing application used a simple square phosphene array, where each phosphene con- sisted of a solid grey scale value equal to the mean luminance of the contributing image pixels. The second image processing application used a Gaussian filter. Array size, contrast level, dropout percentage, simulated phosphene size and back- ground noise were adjustable features of the simulation. Object recognition (including plate, cup and spoon), reading, candy pouring and cutting accuracy tasks were conducted under different simulation conditions. The main result was to conclude that the phosphene array size would be the most important factor in a useable prosthesis. Another image processing approach investigated the require- ments for AHV facial recognition in [108]. A low vision enhancement system connected to a PC and driven by a visual basic program was used to display the images. Subjects were required to select which simulation image best matched a set of four normal images of human faces (the images of the same person were varied by head angle and whether the person was smiling or serious). All images displayed occupied a visual field of 13° horizontally and 17° vertically. The simulation display was presented in a circular dot mask, rather than the contigu- ous square blocks. Electrode properties (such as dropouts; size and gaps), contrast and grey levels could be varied experimen- tally. The grid sizes used in this study varied from 10 × 10 to 32 × 32 phosphenes. The authors found high accuracy for all high contrast tests (except those with significant dropout and two gray levels) and suggest that reliable face recognition using a crude pixelized grid is feasible. Research at the Queensland University of Technology (Aus- tralia), has examined the use of various image-processing techniques (such as enhancing edges, using different grey scales and extracting the most important image features) to identify a recognition threshold for low-quality stationary images [109]. These images are used to represent the limited number of phosphenes available to the subject (typically a 25 × 25 array). This research has found that at these low infor- mation levels the use of image- processing techniques is not helpful in the identification of static scenes, although an auto- matic zoom feature did aid image understanding. Additional research at Queensland University of Technology is investigat- ing methods for the assessment and enhancement of mobility for AHV system users [110]. Expert opinion With our current understanding of neuronal mechanisms in the visual system, AHV systems do not appear likely to replace the functioning of normal human vision. It is not likely that a regularly organized array of phosphenes will occur as a result of current technology microelectrodes [21]. While the development of AHV systems continues, research into retinal transplantation, growth factors and gene therapy has commenced which may also provide alternative treatment options for blindness. AHV systems are likely to offer benefits in the areas of mobility and reading. An important question is whether the benefits from these systems are worth the cost. Despite the overloading of another sensory input channel, traditional mobility aids and ETA devices (such as the vOICe system from Peter Meijer [201]), are probably cheaper, less invasive and may require a similar amount of training to AHV systems. Additionally, most people who are classified as blind are elderly and still have some remaining vision, and therefore are probably not suited to an AHV system. The need for standard psychophysical assessment methods have been noted by a number of AHV researchers [101,111]. To inform consumers on the benefits of an AHV system compared with other technical aids for the blind, future research compar- ing the effectiveness of these devices would be useful. The lack of a method to compare mobility has also been raised by Dobelle [13]. However, there are a number of mobility assess- ment methods presented in the Orientation and Mobility Liter- ature which could be useful for comparison of AHV systems and other devices [112–114]. AHV research offers important insight regarding the function- ing of the human visual system and in brain-computer interface technology. The subretinal device from Optobionics has shown impressive results, however, these results may be due to neuro- trophic effects rather than the microphotodiode implant used. Current research in other AHV systems is promising, however, there appears to be significant development required before they can provide useful mobility and reading. Excellent additional review papers on AHV include [38,50,115,116]. Five-year view The subretinal implants demonstrate the greatest promise in restoring some vision, however, there are doubts over whether the improvements in vision are due to neurotrophic effects or the device itself. Further tests to determine the reason for the improvements are planned. If the device is responsible, it is conceivable to see these implants available in the next 5 years. The cortical implant system from the Dobelle institute is commercially available; however it has not been approved by the FDA. A 5-year view on this system is not possible, as infor- mation regarding the system and patient outcomes are not made public. A recent article in the Wall Street Journal [117] reported a 33-year-old female recipient who paid US$100,000 for the Dobelle system and was only able to use it for 15 min per day (as it was tiring and caused head pain). The remaining cortical and optic nerve systems are still in varying stages of preliminary human or animal testing. Prelimi- nary research has also commenced on microstimulation of the lateral geniculate nucleus [118]. Although progress will be made, it does not appear likely that a commercial system using these methods will be available in the next 5 years. Acknowledgements This research was supported by Cochlear Ltd and the Aus- tralian Research Council through ARC Linkage Grant project 0234229.
  • 10. Dowling 10 Expert Rev. Med. Devices 2(1), (2005) Information resources Main contacts and project websites: • Bionic Eye Research Project (Cortical Neuroprosthesis, Uni- versity of New South Wales, Australia) Vivek Chowdhury and John Morley http://ophthalmology.med.unsw.edu.au/bioniceye.htm • Cortical Implant for the Blind (CORTIVIS, Europe) Edwardo Fernandez http://cortivis.umh.es/ • EPI-RET (Retina implant research in Cologne, Germany) Rolf Eckmiller www.medizin.uni-koeln.de/kliniken/augenklinik/epi- ret3e.htm • Intracortical visual prosthesis (Illinois Institute of Technol- ogy) Phillip Troyk http://neural.iit.edu/intro.html • Microsystems-Based Visual Prosthesis (MiVip, ESPRIT pro- gram of the European Union, now OPTIVIP) Claude Veraart www.md.ucl.ac.be/gren/Projets/mivip.html • OPTIVIP projects (ESPRIT program of the EU) Claude Veraart www.dice.ucl.ac.be/optivip/ • Optobionics Corporation (USA) Alan Chow and Vincent Chow www.optobionics.com • Retinal Implant (Doheny Retina Institute, University of Southern California, USA) Mark Humayun and Eujene De Juan Jr www.usc.edu/hsc/doheny/ • Retinal Implant & Biohybrid Implant (Japan) Tohru Yagi www.bmc.riken.jp/~ yagi/retina/ • Retinal Implant-AG (was SUB-RET project, Germany) Eberhart Zrenner www.retina-implant.de/tour/ • Retinal Prosthesis Project (North Carolina State University) Wentai Liu www.icat.ncsu.edu/projects/retina/ • Retinomorphic chip (University of Pennsylvania, USA) www.neuroengineering.upenn.edu/boahen/pub/fs_pub.htm • Second Sight (CA, USA) Alfred E Mann and Robert Greenberg www.2-sight.com/ • The Boston Retinal Implant Project (USA) John Wyatt and Joseph Rizzo www.bostonretinalimplant.org/ • The Dobelle Institute (Lisbon, Portugal) William Dobelle www.dobelle.com/ • University of Utah (Intracortical prosthesis, USA) Richard A Normann www.bioen.utah.edu/cni/projects/blindness.htm • Vision Prosthesis Project (Retinal prosthesis, Universities of NSW and Newcastle, Australia) Gregg Suaning http://bionic.gsbme.unsw.edu.au/ Key issues • Artificial human vision (AHV) involves the electrical stimulation of a component of the human visual system, which may invoke the perception of a phosphene or point of light. • Four locations for AHV implants are currently utilized; subretinal, epiretinal, optic nerve and the visual cortex (using intra- and surface electrodes). • The only commercially available system is the cortical surface stimulation device from the Dobelle Institute. • The most impressive gains in vision have been reported from the subretinal device developed by the Optobionics Corp., however, these results may not be related to the microphotodiode device used. • Psychophysical and mobility assessment standards would help in comparing AHV systems with other technical aids for the blind. References 1 Hambercht FT. The history of neural stimulation and its relevance to future neural prostheses. In: Neural Prostheses: Fundamental Studies. Agnew WF, McCreery DB (Eds). Prentice Hall, NJ, USA (1990). 2 World Health Organization (WHO). Blindness and visual disability: seeing ahead – projections into the next century. WHO Fact Sheet 146 (1997). 3 World Health Organization. Blindness and visual disability: other leading causes worldwide. WHO Fact Sheet 44 (1999). 4 World Health Organization. Blindness and visual disability: major causes worldwide. WHO Fact Sheet 143 (1999). 5 Chawla H. Essential Opthamology. Churchill Livingstone, Edinburgh, UK (1981). 6 World Health Organization. Blindness and visual disability: socioeconomic aspects. WHO Fact Sheet 145 (1997). 7 Rosen S. Kinesiology and sensorimotor function. In: Foundations of Orientation and Mobility. 2nd Edition. Blasch BB, Weiner WR (Eds). American Foundation for the Blind, NY, USA (1997). 8 Farmer LW, Smith DL. Adaptive technology. In: Foundations of Orientation and Mobility. 2nd Edition. Blasch BB, Weiner WR (Eds). American Foundation for the Blind, NY, USA (1997). 9 Dodds A. Rehabilitating Blind and Visually Impaired People. Chapman and Hall, London, UK (1993). 10 Soong GP, Lovie-Kitchin JE, Brown B. Preferred walking speed for assessment of mobility performance: sighted guide versus nonsighted guide techniques. Clin. Exp. Optom. 83, 279–282 (2000). 11 Dagnelie G. Toward an artificial eye. IEEE Spectrum 22–29 (1996).
  • 11. Artificial human vision www.future-drugs.com 11 12 Pelayo FJ, Martinez A, Romero S et al. Cortical visual neuro-prosthesis for the blind: retina-like software/hardware preprocessor. Proceedings of the First International IEEE EMBS Conference on Neural Engineering (2003). 13 Dobelle W. Artificial vision for the blind by connecting a television camera to the brain. ASAIO J. 46, 3–9 (2000). 14 Boahen KA. A retinomorphic vision system. IEEE Micro. 16, 30–39 (1996). 15 Normann RA, Maynard EM, Guillory KS, Warren DJ. Cortical implants for the blind. IEEE Spectrum 33, 54–59 (1996). 16 Suaning GJ, Lovell NH. CMOS neurostimulation system with 100 channels, scaleable output and bi- directional radio frequency telemetry. IEEE Transac. Biomed. Eng. 48, 248–260 (2001). 17 Troyk PR, Schwan MAK. Closed-loop class E transcutaneous power and data link for MicroImplants. IEEE Transac. Biomed. Eng. 39, 589–599 (1992). 18 Cornsweet TN. Visual Perception. Academic Press, NY, USA (1970). 19 Gregory RL. Eye and Brain: The Psychology of Seeing. 5th Edition. Oxford University Press, Tokyo (1998). 20 Levine MD. Vision in Man and Machine. McGraw-Hill Publishing Company, NY, USA (1985). 21 Troyk P, Bak M, Berg J et al. A model for intracortical visual prosthesis research. Artif. Organs 27, 1005–1015 (2003). 22 Hubel DH, Exploration of the primary visual cortex, 1955–1978. In: Cognitive Neuroscience: A reader. Gazzaniga MS (Ed.). Blackwell, MA, USA (2000). 23 Ronner SF. Electrical excitation of CNS neurons. In: Neural Prostheses: Fundamental Studies. Agnew WF, McCreery DB (Eds). Prentice Hall, NJ, USA (1990). 24 Brindley GS, Lewin WS. The sensations produced by electrical stimulation of the visual cortex. J. Physiol. 196, 479–493 (1968). 25 Suaning G, Lovell N, Schindhelm K, Coroneo A. The bionic eye (electronic visual prosthesis): a review. Aust. NZ J. Ophthamol. 26, 195–202 (1998). 26 Dobelle WH, Mladejovsky MG. Phosphenes produced by electrical stimulation of human occipital cortex, and their application to the development of a prosthesis for the blind. J. Physiol. 243, 553–576 (1974). 27 Dobelle WH, Mladejovsky MG, Evans JR, Roberts TS, Girvin JP. ‘Braille’ reading by a blind volunteer by visual cortex stimulation. Nature 259, 111–112 (1976). 28 Chowdhury V, Morley JW, Coroneo MT. An in vivo paradigm for the evaluation of stimulating electrodes for use with a visual prosthesis. Aust. NZ J. Surg. 74, 372–378 (2004). 29 Chowdhury V, Morley JW, Coroneo MT. Surface stimulation of the brain with a prototype array for a visual cortex prosthesis. J. Clin. Neurosci. 11, 331–341 (2004). 30 Bak M, Girvin JP, Hambrecht FT et al. Visual sensations produced by intracortical microstimulation of the human occipital cortex. Med. Biol. Eng. Comp. 28, 257–259 (1990). 31 Schmidt EM, Bak MJ, Hambrecht FT et al. Feasibility of a visual prosthesis for the blind based on intracortical microstimulation of the visual cortex. Brain 119, 507–522 (1996). 32 Rizzo JF, Wyatt J, Humayun M et al. Retinal prosthesis: an encouraging first decade with major challenges ahead. Ophthalmology 108, 13–14 (2001). 33 Normann RA. A penetrating, cortical electrode array: design considerations. Proceedings of IEEE International Conference on Systems, Man and Cybernetics (1990). 34 Rousche PJ, Normann RA. A System for impact insertion of a 100 electrode array into cortical tissue. Proceedings of the 12th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1990). 35 Normann RA. Visual neuroprosthetics- functional vision for the blind. IEEE Engineering in Medicine and Biology Magazine 14, 77–83 (1995). 36 Maynard EM, Nordhausen CT, Normann RA. The Utah intracortical electrode array: a recording structure for potential brain- computer interfaces. Electroencephalogr. Clin. Neurophysiol. 102, 228–239 (1997). 37 Normann RA, Warren D, Koulakov A. Representations and dynamics of representations of simple visual stimuli by ensembles of neurons in cat visual cortex studied with a microelectrode array. Proceedings of the First International IEEE EMBS Conference on Neural Engineering (2003). 38 Maynard EM. Visual prostheses. Ann. Rev. Biomed. Eng. 3, 145–168 (2001). 39 Fernandez E, Ahnelt P, Rabischong P et al. Towards a cortical visual neuroprosthesis for the blind. Proceedings of the IFMBE, Vienna 3, 1690–1691 (2002). 40 Fernandez E, Alfaro A, Tormos JM et al. Mapping of the human visual cortex using image-guided transcranial magnetic stimulation. Brain Res. Protocols 10, 115–124 (2002). 41 Pelayo FJ, Romero S, Morillas CA et al. Translating image sequences into spike patterns for cortical neurostimulation. Proceedings of the Annual Computational Neuroscience Meeting, Alicante, Spain (2003). 42 Fernandez JM, Alfaro A, Bonomini P et al. Brain plasticity: feasibility of a cortical visual prosthesis for the blind. Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. (2003). 43 Schubert MB, Hierzenberger A, Lehner HJ, Werner JH. Optimizing photodiode arrays for the use as retinal implants. Sensors and Actuators A: Physical. 74, 193–197 (1999). 44 Suaning GJ, Lovell NH. A 100 channel neural stimulator for excitation of retinal ganglion cells. Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 20, 2232–2235 (1998). 45 Humayun MS, de Juan E Jr, Weiland JD et al. Pattern electrical stimulation of the human retina. Vision Res. 39, 2569–2576 (1999). 46 Marc RE, Jones BW, Watt CB, Strettoi E. Neural remodeling in retinal degeneration. Prog. Retinal Eye Res. 22, 607–655 (2003). 47 Chow AY, Chow VY, Pardue MT et al. The semiconductor-based microphotodiode array artificial silicon retina. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (1999). 48 Chow A. Artificial retina device. Optobionics Corporation USA (1991). 49 Chow AY, Chow VY. Subretinal electrical stimulation of the rabbit retina. Neurosci. Lett. 225, 13–16 (1997). 50 Margalit E, Maia M, Weiland JD et al. Retinal prosthesis for the blind. Survey of Ophthalmol. 47, 335–356 (2002). 51 Chow AY, Pardue MT, Chow VY et al. Implantation of silicon chip microphotodiode arrays into the cat subretinal space. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 9, 86–95 (2001). 52 Pardue MT, Stubbs J, Evan B et al. Immunohistochemical studies of the retina following long-term implantation with subretinal microphotodiode arrays. Exp. Eye Res. 73, 333–343 (2001).
  • 12. Dowling 12 Expert Rev. Med. Devices 2(1), (2005) 53 Chow A. First trials and future technologies for artificial retinas. Proceedings of the 14th Annual Meeting of the IEEE Lasers and ElectroOptics Society (2001). 54 Pardue MT, Phillips MJ, Yin H et al. Neuroprotective effect of subretinal implants in the RCS rat. Invest. Ophthalmol. Vision Sci. (2004). In Press. 55 Chow AY, Peachey NS. The subretinal microphotodiode array retinal prosthesis. Ophthalmic Res. 30, 195–198 (1998). 56 Zrenner E, Miliczek K-D, Gabel VP et al. The development of subretinal microphotodiodes for replacement of degenerated photoreceptors. Ophthalmic Res. 29, 269–280 (1997). 57 Zrenner E, Stett A, Weiss S et al. Can subretinal microphotodiodes successfully replace degenerated photoreceptors? Vision Res. 39, 2555–2567 (1999). 58 Stett A, Barth W, Weiss S, Haemmerle H, Zrenner E. Electrical multisite stimulation of the isolated chicken retina. Vision Res. 40, 1785–1795 (2000). 59 Rizzo J, Wyatt J, Loewenstein J, Kelly S, Shire D. Methods and perceptual thresholds for short-term electrical stimulation of human retina with microelectrode arrays. Invest. Ophthalmol. Visual Sci. 44, 5355–5361 (2003). 60 Guenther E, Troger B, Schlosshauer B, Zrenner E. Long-term survival of retinal cell cultures on retinal implant materials. Vision Res. 39, 3988–3994 (1999). 61 Hammerle H, Kobuch K, Kohler K et al. Biostability of micro-photodiode arrays for subretinal implantation. Biomaterials 23, 797–804 (2002). 62 Zrenner E. The subretinal implant: can microphotodiode arrays replace degenerated retinal photoreceptors to restore vision? Ophthalmologica 216(Suppl. 1), 8–20 (2002). 63 Gekeler F, Schwahn H, Stett A, Kohler K, Zrenner E. Subretinal microphotodiodes to replace photoreceptor-function. A review of the current state. In: Vision, sensations et environnement. Doly M, Droy M-T, Christen Y (Eds). Irvinn, Paris, France, 77–95 (2001). 64 Schwahn HN, Gekeler F, Kohler K et al. Studies on the feasibility of a subretinal visual prosthesis: data from Yucatan micropig and rabbit. Graefe’s Archive Clin. Exp. Ophthalmol. 239, 961–967 (2001). 65 Volker M, Shinoda K, Sachs H et al. In vivo assessment of subretinally implanted microphotodiode arrays in cats by optical coherence tomography and fluorescein angiography. Graefe’s Archive Clin. Exp. Ophthalmol. Epub ahead of print (2004). 66 Ito Y, Yagi T, Kanda H et al. Cultures of neurons on microelectrode array in hybrid retinal implant. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (1999). 67 Kanda H, Yagi T, Nakatsu T, Watanabe M, Uchikawa Y. A study on electrical stimulation to visual nervous system in visual prosthesis. Proceedings of the 26th Annual Conference of the IEEE (2000). 68 Kanda H, Yagi T, Ito Y et al. Efficient stimulation inducing neural activity in retinal implant. Proceedings of IEEE Systems, Man, and Cybernetics 4, 409–413 (1999). 69 Peterman MC, Bloom DM, Lee C et al. Localized neurotransmitter release for use in a prototype retinal interface. Invest. Ophthalmol. Visual Sci. 44, 3144–3149 (2003). 70 Peterman MC, Mehenti NZ, Bilbao KV et al. The artificial synapse chip: a flexible retinal interface based on directed retinal cell growth and neurotransmitter stimulation. Artif. Organs 27, 975–985 (2003). 71 Ziegler D, Linderholm P, Mazza M et al. An active microphotodiode array of oscillating pixels for retinal stimulation. Sensors and Actuators A: Physical 110, 11–17 (2003). 72 Kanda H, Morimoto T, Fujikado T et al. Electrophysiological studies of the feasibility of suprachoroidal-transretinal stimulation for artificial vision in normal and RCS rats. Invest. Ophthalmol. Visual Sci. 45, 560–566 (2004). 73 Palanker D, Huie P, Vankov A et al. Attracting retinal cells to electrodes for high-resolution stimulation. Ophthalmic Technol. SPIE 5314 (2004). 74 Humayun MS. Is surface electrical stimulation of the retina a feasible approach towards the development of a visual prosthesis? PhD thesis, University of North Carolina at Chapel Hill (1992). 75 Liu W, McGucken E, Vitchiechom K et al. Dual unit visual intraocular prosthesis. Proceedings of the 19th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (1997). 76 Humayun MS, Sato Y, Propst R, de Juan Jr E. Can potentials from the visual cortex be elicited electronically despite severe retinal degeneration and a markedly reduced electroretinogram? German J. Ophthalmol. 4, 57–64 (1995). 77 Humayun MS, de Juan E. Artificial vision. Eye 12, 605–607 (1998). 78 Humayun MS, De Juan E Jr, Dagnelie G et al. Visual perception elicited by electrical stimulation of retina in blind humans. Arch. Ophthalmol. 114, 40–46 (1996). 79 Majji AB, Humayun MS, Weiland JD et al. Long-term histological and electrophysiological results of an inactive epiretinal electrode array implantation in dogs. Invest. Ophthalmol. Visual Sci. 40, 2073–2081 (1999). 80 Liu W, McGucken E, Vichienchom K et al. Retinal prosthesis to aid the visually impaired. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (1999). 81 Liu W, McGucken E, Cavin R et al., A retinal prosthesis to benefit the visually impaired. In: Intelligent Systems and Technologies in Rehabilitation Engineering. Teodorescu H-NL, Jain LC (Eds). CRC Press, FL, USA (2001). 82 Humayun MS, Weiland JD, Fujii GY et al. Visual perception in a blind subject with a chronic microelectronic retinal prosthesis. Vision Res. 43, 2573–2581 (2003). 83 Johnson L, Perkins FK, O’Hearn T et al. Electrical stimulation of isolated retina with microwire glass electrodes. J. Neurosci. Meth. (2004). In Press. 84 Liu W, Sivaprakasam M, Singh PR, Bashirullah R, Wang G. Electronic visual prosthesis. Artif. Organs 27, 986–995 (2003). 85 Rizzo JF, Wyatt J. Prospects for a visual prosthesis. The Neuroscientist 3, 251–262 (1997). 86 Rizzo JF, Miller S, Denison T, Wyatt J. Electrically-evoked cortical potentials from stimulation of rabbit retina with a microfabricated electrode array. Invest. Ophthalmol. Visual Sci. 37, S707 (1996). 87 Rizzo J, Wyatt J, Loewenstein J, Kelly S, Shire D. Perceptual efficacy of electrical stimulation of human retina with a microelectrode array during short-term surgical trials. Invest. Ophthalmol. Visual Sci. 44, 5362–5369 (2003). 88 Eckmiller R. Learning retina implants with epiretinal contacts. Ophthalmic Res. 29, 281–289 (1997). 89 Eckmiller R, Becker M, Hunermann R. Dialog concepts for learning retina encoders. Proceedings of the International Conference on Neural Networks (1997). 90 Becker M, Braun M, Eckmiller R. Retina implant adjustment with reinforcement learning. Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing (1998).
  • 13. Artificial human vision www.future-drugs.com 13 91 Becker M, Eckmiller R, Hunermann R. Psychophysical test of a tunable retina encoder for retina implants. Proceedings of the International Joint Conference on Neural Networks (1999). 92 Baruth O, Eckmiller R, Neumann D. Retina encoder tuning and data encryption for learning retina implants. Proceedings of the International Joint Conference on Neural Networks (2003). 93 Eckmiller R, Becker M, Hunermann R. Towards a learning retina implant with epiretinal contacts. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (1999). 94 Walter P, Heimann K. Evoked cortical potentials after electrical stimulation of the inner retina in rabbits. Graefe’s Archive Clin. Exp. Ophthalmol. 238, 315–318 (2000). 95 Hesse L, Schanze T, Wilms M, Eger M. Implantation of retina stimulation electrodes and recording of electrical stimulation responses in the visual cortex of the cat. Graefe’s Archive Clin. Exp. Ophthalmol. 238, 840–845 (2000). 96 Suaning GJ, Lovell NH, Kerdraon YA. Physiological response in Ovis aries resulting from electrical stimuli delivered by an implantable vision prosthesis. Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2001). 97 Suaning GJ, Lovell NH, Kerdraon Y. Trans- retinal electrical stimulation using a neuroprosthesis: the effects of damage to the R-Membrane. Proceedings of the Second Joint Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society (2002). 98 Hallum L, Tsafnet G, Lovell N, Suaning G. Artificial vision for the blind. Australasian Sci. 30, 21–23 (2003). 99 Suaning GJ, Lovell NH, Kwok CY. Fabrication of platinum spherical electrodes in an intraocular prosthesis using high- energy electrical discharge. Sensors and Actuators A: Physical 108, 155–161 (2003). 100 Hallum LE, Taubman DS, Suaning GJ, Morley JW, Lovell NH. A filtering approach to artificial vision: a phosphene visual tracking task. Proceedings of the World Congress on Medical Physics and Biomedical Engineering (WC2003), Sydney, Australia (2003). 101 Suaning GJ, Hallum LE, Chen SC, Preston PJ, Lovell NH. Phosphene vision: development of a portable visual prosthesis system for the blind. Proceedings of the 25th Annual International Conference of the IEEE/EMBS, Cancun, Mexico (2003). 102 Veraart C, Wanet-Defalque M-C, Gérard B, Vanlierde A, Delbeke J. Pattern recognition with the optic nerve visual prosthesis. Artif. Organs 27, 996–1004 (2003). 103 Archambeau C, Delbeke J, Verleysen M. Classification of visual sensations generated electrically in the visual field of the blind. Proceedings of the 5th IFAC symposium on Modeling and Control in Biomedical Systems, Melbourne, Australia (2003). 104 Archambeau C, Delbeke J, Veraart C, Verleysen M. Prediction of visual perceptions with artificial neural networks in a visual prosthesis for the blind. Artif. Intel. Med. (2004). In Press. 105 Weiland JD, Humayun MS. Past, present, and future of artificial vision. Artif. Organs 27, 961–962 (2003). 106 Cha K, Horch K, Normann R. Mobility performance with a pixelised vision system. Vision Res. 32, 1367–1372 (1992). 107 Hayes JS, Yin VT, Piyathaisere D et al. Visually guided performance of simple tasks using simulated prosthetic vision. Artif. Organs 27, 1016–1028 (2003). 108 Thompson R, Barnett G, Humayun M, Dagnelie G. Facial recognition using simulated prosthetic pixelized vision. Invest. Ophthalmol. Vision Sci. 44, 5035–5042 (2003). 109 Boyle JR, Maeder AJ, Boles WW. Can environmental knowledge improve perception with electronic visual prostheses? Proceedings of the World Congress on Medical Physics and Biomedical Engineering (WC2003), Sydney (2003). 110 Dowling J, Maeder A, Boles W. Mobility enhancement and assessment for a visual prosthesis. Proceedings of SPIE International Symposium on Medical Imaging, San Diego, CA, USA (2004). 111 Loewenstein JI, Montezuma SR, Rizzo III JF. Outer retinal degeneration: an electronic retinal prosthesis as a treatment strategy. Arch. Ophthalmol. 122, 587–596 (2004). 112 Lovie-Kitchin J, Mainstone J, Robinson J, Brown B. What areas of the visual field are important for mobility in low vision patients? Clin. Vision Sci. 5 (1990). 113 Geruschat D, Turano KA, Stahl JW. Traditional measures of mobility performance and retinis pigmentosa. Optometry Vision Sci. 75, 525–537 (1998). 114 Haymes S, Guest D, Heyes A, Johnston A. Mobility of people with retinitis pigmentosa as a function of vision and psychological variables. Optometry Vision Sci. 73, 621–637 (1996). 115 Warren DJ, Normann RA, Visual neuroprostheses. In: Handbook of Neuroprosthetic Methods. Finn WE, LoPresti PG (Eds). CRC Press, FL, USA (2003). 116 Uhlig CE, Taneri S, Benner FP, Gerding H. Elektrostimulation des visuellen Systems. Ophthalmologe 98, 1089–1096 (2001). 117 Naik G, Regalado A. An inventor struggles to restore sight. In: Wall Street Journal, NY, USA, B1 (2003). 118 Pezaris JS, Reid RC. Microstimulation in LGN produces focal visual percepts. To be presented at the 34th Annual Meeting of the Society for Neuroscience. 23–27 October, San Diego, CA, USA (2004). Website 119 Meijer PBL. Vision technology for the totally blind (2003). www.seeingwithsound.com/ (Accessed December, 2004) Affiliation • Jason Dowling Queensland University of Technology, School of Electrical and Electronic Systems Engineering, Faculty of Built Environment and Engineering,, Brisbane, Australia Tel.: +617 3864 1608 Fax: +617 3864 1516 j.dowling@qut.edu.au