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SEMINAR BY: 
NAMRATA KOLEY(C.S.E. III YEAR) 
OM DAYAL GROUP OF INSTITUTION,ULUBERRIA 
WEST BENGAL
INTRODUCTION 
What is Brain Gate Technology? 
• Brain gate is a neuroprosthetic device that converts 
brain activity into computer commands. 
• This system is designed to help those 
who have lost control of their limbs, 
or other bodily functions, such as patients 
with amyotropic lateral sclerosis (ALS) or 
spinal cord injury.
DEVELOPMENT 
BrainGate is a brain implant system developed by the bio-tech 
company Cyberkinetics in 2003 in conjunction with the 
Department of Neuroscience at Brown University . 
In July 2009, a second clinical trial (dubbed "BrainGate2") was 
initiated by researchers at Massachusetts General Hospital, 
Brown University, and the Providence VA. 
Judy Hackett Jeff Stibel Nicholas Hatsopoulos
UNDERLYING PRINCIPLE 
The brain is hardwired with connections, which are made by 
billions of neurons that make electricital signals whenever 
they are stimulated. 
”The principle of operation of the 
BrainGate Neural Interface System 
is that with intact brain function, 
neural signals are generated even 
though they are not sent to the arms, 
hands and legs”.
WORKING 
A sensor is implanted on the brain, and electrodes are hooked up to wires 
that travel to a pedestal on the scalp. From there, a fiber optic cable carries 
the brain activity data to a preprocessor ,then digitizer and then to a nearby 
computer.
WORKING ALGORITHM
NEUROCHIP 
The chip uses 100 hair-thin electrodes that 'hear' neurons firing in specific 
areas of the brain It is made of silicon that is doped in such a way that it 
contains EOSFETs (that can sense the electrical activity of the neurons. It 
also contains capacitors for the electrical stimulation of the neurons. It is 
embeddedd in primary motor cortex region .
INVASIVE 
 Invasive BCIs are implanted directly into the 
grey matter of the brain during neurosurgery . 
 Invasive BCI provides the highest quality of 
signals among BCIs but are prone to scar –tissue 
build- ups. 
PARTIALLY INVASIVE 
Partially invasive BCI devices are implanted inside the skull but rest outside 
the brain rather than within the grey matter. They produce better resolution 
signals than non-invasive BCIs where the bone tissue of the cranium deflects 
and deforms signals and have a lower risk of forming scar-tissue 
Eg:::::ELECTROCORTICOGRAPH (ECoG) 
NON -INVASIVE 
No break in the skin is made .Activities are carried out on the scalp. 
Eg :Electroencephalography(EEG) 
Magnetoencephalography(EEG)
PREPROCESSING 
• The raw EEG signal requires some preprocessing before the 
feature extraction. This preprocessing includes removing 
unnecessary frequency bands, averaging the current brain activity 
level, transforming the measured scalp potentials to cortex 
potentials and denoising. Frequency bands of the EEG : 
Band Frequecny [Hz] Amplitude Location 
Alpha (_) 8-12 10 -150 Occipital/ 
Parietal regions 
μ-rhythm 9-11 varies Precentral/ 
Postcentral 
regions 
Beta (_) 14 -30 25 typically 
Frontal regions 
Theta (_) 4-7 varies varies 
Delta (_) <3 varies varies
DETECTION 
• The detection means to try to find out these mental tasks from the EEG 
signal. It can be done in time-domain, e.g. by comparing amplitudes of 
the EEG and in frequency-domain. This involves usually digital signal 
processing for sampling and band pass filtering the signal, then 
calculating these time -or frequency domain features and then 
classifying them. 
• These classification algorithms include simple comparison of amplitudes 
linear and non-linear equations and artificial neural networks. By 
constant feedback from user to the system and vice versa, both partners 
gradually learn more from each other and improve the overall 
performance.
CONTROL 
The final part consists of applying 
the will of the user to the used 
application. The user chooses an 
action by controlling his brain 
activity, which is then detected 
and classified to corresponding 
action. Feedback is 
provided to user by audio-visual 
means
TRAINING 
The training is the part where the 
user adapts to the BCI system. 
This training begins with very simple 
exercises where the user is familiarized 
with mental activity which is used to 
relay the information to the computer. 
Motivation, frustration, fatigue, etc. 
apply also here and their effect should 
be taken into consideration when 
planning the training procedures.Users 
learn over a series of 40-min sessions 
to control the cursor. 
They participate in 2–3 sessions 
per week for about six months.
BIO FEEDBACK 
• The definition of the biofeedback is biological 
information which is returned to the source 
that created it, so that source can understand 
it and have control over it. This biofeedback 
in BCI systems is usually provided by visually, 
e.g. the user sees cursor moving up or down 
or letter being selected from the alphabet.
COMPONENTS 
NEUROCHIP 
CONNECTOR(PEDESTAL) 
PREPROCESSING SECTION 
COMPUTER 
EXERNAL DEVICES
Software behind Brain Gate… 
The computers translate brain activity and 
create the communication output using custom 
decoding software. 
System uses translation algoithm in which 
a linear equation translates mu-rhythm or 
beta-rhythm into cursor movement of 
10 times/s,adaptive algorithms and 
pattern-matching techniques to facilitate 
communication. The algorithms are written in C, 
JAVA and MATLAB
DENOISING AMPLIFIER 
averaging the current brain 
activity level 
Measure scalp potentials to 
cortex potentials 
removing unnecessary 
frequency bands
CURSOR 
In our brain–computer interface (BCI) people 
motor disabilities learn to control mu- and/or 
beta-rhythm amplitudes to move a cursor in 
one or two dimensions to choices on a 
computer screen 
the user controls vertical cursor movement by 
controlling the amplitude of a 12-Hz mu 
rhythm focused over left 
sensorimotor cortex. 
With this control, users can move the cursor to 
answer spoken yes/no questions with 
accuracies >95%
DO YOU WANT TO MOVE YOUR HAND 
RIGHT? 
• YES N O
Brain Gate Research in animals: 
At first, rats were 
implanted with BCI . 
Signals recorded from 
the cerebral cortex of rat 
to operate BCI to carry 
out the movement.
Researchers at the University of Pittsburgh had demonstarted on 
a monkey that can feed itself with a robotic arm simply by using 
signals from its brain. Using only its mind the monkey was able 
to control a cursor on a computer monitor via Brain Gate.
APPLICATIONS: 
In Foxborough, a 25- 
year-old quadriplegic sits 
in a wheelchair with 
wires coming out of a 
bottle-cap-size connector 
stuck in his skull. The 
wires run from 100 tiny 
sensors implanted in his 
brain and out to a 
computer. Using just his 
thoughts, he was playing 
the computer game Pong.
CONCLUSION 
 According to the Cyberkinetics' website, two patients have been implanted 
with the Brain Gate system. 
 Using the system, called Brain Gate, the patient can read e-mail, play video 
games, turn lights on or off and change channels or adjust the volume of a 
television set. 
 In early test sessions, the patient was able to control the TV and carry on a 
conversation and move his head at the same time. 
 The results are spectacular and almost unbelievable. 
 Brain Gate can help paralyzed people move by controlling their own electric 
wheelchairs, communicate by using e-mail and Internet-based phone systems, 
and be independent by controlling items such as televisions and thermostats. 
 Finally BRAIN GATE has proved to be a boon for paralyzed patient .
BRAIN GATE

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BRAIN GATE

  • 1. SEMINAR BY: NAMRATA KOLEY(C.S.E. III YEAR) OM DAYAL GROUP OF INSTITUTION,ULUBERRIA WEST BENGAL
  • 2. INTRODUCTION What is Brain Gate Technology? • Brain gate is a neuroprosthetic device that converts brain activity into computer commands. • This system is designed to help those who have lost control of their limbs, or other bodily functions, such as patients with amyotropic lateral sclerosis (ALS) or spinal cord injury.
  • 3. DEVELOPMENT BrainGate is a brain implant system developed by the bio-tech company Cyberkinetics in 2003 in conjunction with the Department of Neuroscience at Brown University . In July 2009, a second clinical trial (dubbed "BrainGate2") was initiated by researchers at Massachusetts General Hospital, Brown University, and the Providence VA. Judy Hackett Jeff Stibel Nicholas Hatsopoulos
  • 4. UNDERLYING PRINCIPLE The brain is hardwired with connections, which are made by billions of neurons that make electricital signals whenever they are stimulated. ”The principle of operation of the BrainGate Neural Interface System is that with intact brain function, neural signals are generated even though they are not sent to the arms, hands and legs”.
  • 5. WORKING A sensor is implanted on the brain, and electrodes are hooked up to wires that travel to a pedestal on the scalp. From there, a fiber optic cable carries the brain activity data to a preprocessor ,then digitizer and then to a nearby computer.
  • 7. NEUROCHIP The chip uses 100 hair-thin electrodes that 'hear' neurons firing in specific areas of the brain It is made of silicon that is doped in such a way that it contains EOSFETs (that can sense the electrical activity of the neurons. It also contains capacitors for the electrical stimulation of the neurons. It is embeddedd in primary motor cortex region .
  • 8. INVASIVE  Invasive BCIs are implanted directly into the grey matter of the brain during neurosurgery .  Invasive BCI provides the highest quality of signals among BCIs but are prone to scar –tissue build- ups. PARTIALLY INVASIVE Partially invasive BCI devices are implanted inside the skull but rest outside the brain rather than within the grey matter. They produce better resolution signals than non-invasive BCIs where the bone tissue of the cranium deflects and deforms signals and have a lower risk of forming scar-tissue Eg:::::ELECTROCORTICOGRAPH (ECoG) NON -INVASIVE No break in the skin is made .Activities are carried out on the scalp. Eg :Electroencephalography(EEG) Magnetoencephalography(EEG)
  • 9. PREPROCESSING • The raw EEG signal requires some preprocessing before the feature extraction. This preprocessing includes removing unnecessary frequency bands, averaging the current brain activity level, transforming the measured scalp potentials to cortex potentials and denoising. Frequency bands of the EEG : Band Frequecny [Hz] Amplitude Location Alpha (_) 8-12 10 -150 Occipital/ Parietal regions μ-rhythm 9-11 varies Precentral/ Postcentral regions Beta (_) 14 -30 25 typically Frontal regions Theta (_) 4-7 varies varies Delta (_) <3 varies varies
  • 10. DETECTION • The detection means to try to find out these mental tasks from the EEG signal. It can be done in time-domain, e.g. by comparing amplitudes of the EEG and in frequency-domain. This involves usually digital signal processing for sampling and band pass filtering the signal, then calculating these time -or frequency domain features and then classifying them. • These classification algorithms include simple comparison of amplitudes linear and non-linear equations and artificial neural networks. By constant feedback from user to the system and vice versa, both partners gradually learn more from each other and improve the overall performance.
  • 11. CONTROL The final part consists of applying the will of the user to the used application. The user chooses an action by controlling his brain activity, which is then detected and classified to corresponding action. Feedback is provided to user by audio-visual means
  • 12. TRAINING The training is the part where the user adapts to the BCI system. This training begins with very simple exercises where the user is familiarized with mental activity which is used to relay the information to the computer. Motivation, frustration, fatigue, etc. apply also here and their effect should be taken into consideration when planning the training procedures.Users learn over a series of 40-min sessions to control the cursor. They participate in 2–3 sessions per week for about six months.
  • 13. BIO FEEDBACK • The definition of the biofeedback is biological information which is returned to the source that created it, so that source can understand it and have control over it. This biofeedback in BCI systems is usually provided by visually, e.g. the user sees cursor moving up or down or letter being selected from the alphabet.
  • 14. COMPONENTS NEUROCHIP CONNECTOR(PEDESTAL) PREPROCESSING SECTION COMPUTER EXERNAL DEVICES
  • 15. Software behind Brain Gate… The computers translate brain activity and create the communication output using custom decoding software. System uses translation algoithm in which a linear equation translates mu-rhythm or beta-rhythm into cursor movement of 10 times/s,adaptive algorithms and pattern-matching techniques to facilitate communication. The algorithms are written in C, JAVA and MATLAB
  • 16. DENOISING AMPLIFIER averaging the current brain activity level Measure scalp potentials to cortex potentials removing unnecessary frequency bands
  • 17. CURSOR In our brain–computer interface (BCI) people motor disabilities learn to control mu- and/or beta-rhythm amplitudes to move a cursor in one or two dimensions to choices on a computer screen the user controls vertical cursor movement by controlling the amplitude of a 12-Hz mu rhythm focused over left sensorimotor cortex. With this control, users can move the cursor to answer spoken yes/no questions with accuracies >95%
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  • 19. DO YOU WANT TO MOVE YOUR HAND RIGHT? • YES N O
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  • 21. Brain Gate Research in animals: At first, rats were implanted with BCI . Signals recorded from the cerebral cortex of rat to operate BCI to carry out the movement.
  • 22. Researchers at the University of Pittsburgh had demonstarted on a monkey that can feed itself with a robotic arm simply by using signals from its brain. Using only its mind the monkey was able to control a cursor on a computer monitor via Brain Gate.
  • 23. APPLICATIONS: In Foxborough, a 25- year-old quadriplegic sits in a wheelchair with wires coming out of a bottle-cap-size connector stuck in his skull. The wires run from 100 tiny sensors implanted in his brain and out to a computer. Using just his thoughts, he was playing the computer game Pong.
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  • 26. CONCLUSION  According to the Cyberkinetics' website, two patients have been implanted with the Brain Gate system.  Using the system, called Brain Gate, the patient can read e-mail, play video games, turn lights on or off and change channels or adjust the volume of a television set.  In early test sessions, the patient was able to control the TV and carry on a conversation and move his head at the same time.  The results are spectacular and almost unbelievable.  Brain Gate can help paralyzed people move by controlling their own electric wheelchairs, communicate by using e-mail and Internet-based phone systems, and be independent by controlling items such as televisions and thermostats.  Finally BRAIN GATE has proved to be a boon for paralyzed patient .