The document summarizes a company's development of a functional personalized control system for bionic prosthetic hands. Some key points: - The company was founded in February 2016 and has made progress developing prototypes while patenting their control system technology. - Their control system aims to provide more functionality than existing solutions by allowing an unlimited number of grips through personalized training and motion recognition rather than rigid pre-set grips. - They have demonstrated proof of concept and are working to develop a final prototype integrated with partner prosthesis companies, while patenting their system internationally. - The company is seeking collaboration partners and investment to complete development of their customizable prosthetic hand control system.

1. functional personalized control system for bionic prosthetic hand
Raising investment for final prototype of control system development
• Feb 2016 - Company is founded
• May 2016 - Patent application RU is submitted
• Nov 2016 - Proof of concept is done
• Feb 2017 - 1st prototype is developed
• May 2017 - PCT is submitted
MYONICS
MYONICS.RU

2. PROBLEM: functionality of most advanced high limb prosthesis is low
Fixed, rigid control system
Limitation of number of grips (motions)
1 Long and difficult education process
2
3
The key problem of all bionic prosthetic devises functionality is control system.
All companies with bionic prosthesis on the market or in R&D are using more-less the same control system

3. We are developing most functional control system which could be
integrated in any bionic upper limb prosthesis
1
No limitation of number of grips - limited only by the natural function of the remain muscle
Fast and easy training process - just 1-2 minutes
Personalized control system
2
Functionality of control systemLow High
3

4. The most advanced control system technologies
Trigger control system Thalmic control system
Market players
R&D
Our control system could be integrated in any bionic hand prosthesis
Pattern recognition Implant
M.A.S.S. Impact
• Training process is long and difficult;
• Limitation of number of grips (3
degrees of freedom);
• Button or smartphone is needed to
change grip
• No direct access to EMG signal
• Limitation of number of grips;
• ADC frequency is low;
• A large number of errors;
• Certainty of recognition is low;
• EMG is not processed;
• Good control and certainty;
• Invasive surgery procedure – risk of
rejection;Current status

5. How it works?
Step 1 – Control System Education
System training
CURRENT STATUS: Motion recognition of
individual fingers and combinations of these
movements with the certainty 99,7%.
Our control systemOther control system
EMG processing
No control system education
Each patient have to train to work with
rigid control system Database of
each motion

6. How it works?
Step 2 – Control System Using
Classification
Our control systemTrigger control system
EMG processing
All possible movement
implementation by prosthesis
(limited only by natural function of muscle)
Trigger
3 possible degrees of freedom
(1-1, 1-0, 0-1)
• Possibility to make only grasp and
ungrasp;
• To make another grip – regime
should be changed (by prolonged
muscle tension or by smartphone,
button etc.)

7. Where we are?
Q3 2017Q1 2016 Q3 2019Q4 2018
Step 1
Proof of concept
DONE
Step 2
Final prototype
development
Step 3
System implementation
Launch
R&D:
- Software development – motion
recognition;
- 3D device is printed (demonstration);
IP:
- Patent in RU is submitted;
- PCT is submitted
R&D:
- Software development – each finger
recognition;
IP:
- Patents in key countries submission;
Management:
- Key partners identification;
R&D:
- Control system integration in partnered
prosthesis;
IP:
- Patents in key countries are received;

8. Project team
Administrative / Business operations R&D
Evgeny Bondarenko
- Project management;
- Strategy development;
- Partnership, business development;
Tel. +7-916-036-21-27
e-mail: eb@myonics.ru
Evgeny Zhvansky
- Software ; Digital signal processing, machine learning
Experience Education
1/ Sanofi: Business Development – 3Y
2/ Avineuro (Chemrar group): COO – 3Y
Moscow Institute of Physics
and Technology (MIPT)
Tel. +7-963-615-73-43
e-mail: ez@myonics.ru
Experience Education
1/ MIPT – 2Y
2/ Institute of information transmission problems – 4Y
Moscow Institute of Physics
and Technology (MIPT)
Gibadullin Artur
- Hardware development;
Tel. +7-916-885-79-55
e-mail: ag@myonics.ru
Experience Education
1/ PAO «Radiophysics»: engineer
2/ MIPT – radio engineering and cybernetics
Moscow Institute of Physics
and Technology (MIPT)

9. Would you like to collaborate with us?
1/ Looking for collaboration with potential partners
2/ Raising Investment for final prototype of control system development
EVGENY BONDARENKO
Chief Operation Officer, Myonics
eb@myonics.ru
+7-916-036-21-27