Bionic control system for prosthesis, human-machine interface, exosckeleton

1. Adaptive control system for upper
limb prostheses

2. In accordance with WHO in 2014
>100 million of people are
suffering from diseases of the
musculoskeletal system
>10 million of people are without
limbs
Global Challenge

3. Response to the challenge
an exoskeleton-prosthesis system
with two main parts:
- addaptive controling system
- advanced mechanics

4. Due to complexity of
the problem we
focused first on
bionic arm
control system
Our focus

5. To create fully addaptive control system
which will be:
- adjustable to a human personally
- scalable to exoskeleton-prosthesis
supporting system of whole body in terms
of powerfull hardware and algorithms
of signals analysis from a range of body
muscles
Main Idea

6. We’ve created prototype of control system called
Galvani (in honor to Luigi Galvani) for bionic limb
which is to be wear on a forearm.
Control system, in high level, includes the process
unit and the group of electrodes.
Realization
Version 1.0 Version 2.0
bracelet form-factor

7. Technology. Source of signal
Electromyogram — is a sum of
many motor unit activity.
Bioelectrical potential
appears in muscle fibre
when we make muscle
contraction. It can be
detected by two electrodes
as a potential difference.

8. We’ve developed
unique platform
which can
-register,
-process and
-send
commands to acting
mechanism
Technology. Hardware
Heart of system,
4-channel version,
40x50mm

9. Technology. Soft/w and analysis
* Please try via Azure ML studio one of our experiments with ML -
http://gallery.azureml.net/Details/d25ee7b779b64ce89a5b66540f4b3e87
In addition to own software.
- We are using machine learning
algorithms via Python and Microsoft
Azure ML servers for fast computations*,
- Was developed educational programm for
prosthesis,
- Was developed software which can
substitute mouse as manipulator

10. trigger
pattern
recognition
advanced
machine
learning
fully
adjustable
sensors
quality
time
Technological roadmap
past now future
Feb ‘15
June ‘15
Oct ‘14

11. MyoBand by Thalmic Labs:
- doesn’t adapt to user
Competitors. MyoBand
- system is trigger-type that uses
peak-detector to identify whether muscle
is active
- 7 gestures with 9-channels system

12. Existing systems from world grands
such as Bebionic, OttoBock etc:
- system is trigger-type that uses
peak-detector to identify
whether muscle is active,
- 2-channels (grip/relax)
systems with switchers in order
to increase freedom degree
Competitors. Existing control
systems in prosthesis
Сontroller
embedded in prosthesis
Electrodes
to register trigger signals

13. - we process the whole-spectrum
electromyogram, we can track specific features
corresponding different gestures or movements
- we are adaptive to a human - due to advanced
machine learning algorithms - Galvani system can
adjust to every human personally using her/his
active muscles
- only 4-channel systems gives us already
9 degrees of freedom without any switchers
- we sharpened to use remained atrophied
muscles to control mechanic arm
Features against competitors

14. - Eliminating of complicated process of active points
finding (muscles which can be used as a source of
signals) due to bracelet form-factor which already
detects patterns of muscle activity leading to
reducing prosthetics process
- Fixed form-factor of the Control system ->
standart prosthesis case leading to reducing
prosthetics process
- Simple learning process using desktop and mobile
apps leading to a greater usage of prosthesis
and socialization of disabled persons
- Remote monitoring and usage statistics
Values based on features

15. World market
Exoskeletons market is still latent, however
prosthesis and rehabilitation tools markets are
very attractive today
Global orthopedic prosthetics market - $19.4bn by 2015
“Orthopedic Prosthetics: A Global Strategic Business Report,”* projected
that the global orthopedic prosthetics market will reach $19.4 billion by
2015.
Russia and Eastern Europe are best places to develop
Russia and Eastern Europe were found to be underserved in prosthetic and
orthopedic devices - only 15% of needs were covered.
Global rehabilitation market (ex. postapoplectic brace)
In accordance with Radiant Insights Inc. (USA) rehabilitation robot market
size at $43.3 million is expected grow dramatically to reach $1.8 billion by
2020. Market growth is a result of the effectiveness of robotic treatment of
muscle difficulty

16. Russian&Eastern Europe
market winning strategy. Embedding
We are partnering with Russian market leading R&D
offices which are supplying prosthesis parts:
Galateya company is a leader of Russian prosthesis market
with app. 30% market share. We’ve already signed an
cooperation agreement to develop control system for existing
prosthesis and R&D project on new functional bionic
prosthesis
RCC Energy (10-15% Russian market share, 2-5% in
Eastern Europe)- negotiations in progress
National Prosthesis Institute named after Albrecht (10-
15% Russian market share) - negotiations in progress
Otto Bock - on of the gloabl leader in bionics. Negotiations in
progress with Moscow Office and Engineers in Austria

17. Russian&Eastern Europe
market segments
Galateya
5,000
4,000
3,000
2,000
1,000
7,000
10,000
RCC Energy
USD
15,000
20,000
Low
functionality
High
functionality
Interesting, relatively free, segment of mid
functional prosthesis and with mid price tag

18. Russian&Eastern Europe
market winning strategy. “Greenfield”
We are partnering with technological companies and
young startups in order to design new proesthesis with
our control system
The segment of mid-functional prosthesis is very attractive,
however, in accordance with SWAT analysis we are facing
strong threats from Chinese companies
Therefore we have to follow balanced ratio between
provided value and price and further additional
service

19. Economics
At this moment we can provide different modifications
of control system. Retail price starts from 300 till
to 700 USD.
Partnering with Galateya Company we are planning to
sale app 350 pieces in Russia in year 2016 at price
range 300-400 USD (depends on currency rate) and
gaining revenue app. 120,000 USD and further YoY
growth 30-40%.
Strategic goal now is to establish partners relations
in different markets with different local players.

20. Team
We are young players, graduates and PhD students at
MIPT.
Members of Galvani Team are winners of:
- Intel Global Challenge Contest,
- Microsoft Imagine Cup Russia 2012. 2015,
- Local big contests like START, UMNIK, BIT
Passed traineeship in CalTech (USA), Aalto University
(FIN), LSE (UK)

21. galvani.bio
Contact us:
contact@galvani.bio