Prostheses control for distal limbs as parts of our initial software and hardware development
Main Product
and Concept in Brief
Neural control software
Recognizes brain commands via neural interface

Lets people control different types of objects

Initial application
Neural control of artificial limbs

Seamless thought-to-movement process

Further applications
Neural control of robots and other gadgets

Pairing with VR devices

From gaming to bringing back abilities to new experiences
Project Significance

Active control systems are used as invasive means of sensors installation into a human brain which is unsafe.

Adjustment of modern prostheses takes months and years and could trigger illnesses and physiological deformations.

Significant computing power is used to control prostheses due to the need of processing an enormous amount of data obtained from patients.

The use of bionic prostheses like LUKE or Shvabe does not resolve the issue completely since those technologies only process the signals recorded from the surface stump muscles.
What We Offer
Combined system of neural control based on non-invasive neural sensors
Classification +

input signal grouping for action decision
Approximation +

best output signal pick
Active =

non-invasive control
New system

Use existing statistics for a general mechanism adjustment
Get more precise prosthesis reaction based on the user interaction
Lower computing requirements
Non-invasive neural sensors adjustments in 1-2 weeks
Our product
Set of software solutions for prosthesis control
via neural interface
via sensors signals
obtained from stump muscles
As a result, we build software applications that help adjust prostheses, learn neural interface interaction and synchronize limb movements. At the moment, we have the initial software we are developing and testing, plus building the hardware prototype.
Overall Neural Control System Concept

The mechanism of prosthesis active control is a significant addition to already existing modern bionic control systems.

How is it managed?
Neural Interface
  • Does not require surgery and supervision by neurosurgeon, neurologist and others
  • Does not cause any inflammation
  • Does not require any medication
The device transfers brain digital signals to a computer or iOS / Android gadgets via Bluetooth.
Execution device
Computing board provides interaction with mechanisms using our software.
Assembled prosthesis prototype
As an experimental control model, we use the open project prosthesis device. We are currently developing our own prosthesis model which can be 3D printed.
Neural interface signal processing
There are three sequences (bigger blue contours), where each of them is comprised of two peaks (dotted green contours). The first peak reflects the limb bending, the second one shows the limb extension.
Our Team
Konstantin Gorbunov, in
Chief Executive Officer
Aleksandr Ovcharenko, in
Chief Technology Officer
Francesco Casalegn, in
Machine Learning
Sam Yates, in
Software Developer
Anna Berkovich, in
Public Relationships
Taylor Newton, in
c/o Aleksandr Ovcharenko
Chemin des Mines 9
Geneva, 1202 Switzerland

Email: info at neurogress dot ch

Tel: +41-76-613-6618