Prostheses control for distal limbs as parts of our initial software and hardware development
and Concept in Brief
Neural control software
Recognizes brain commands via neural interface
Lets people control different types of objects
Neural control of artificial limbs
Seamless thought-to-movement process
Neural control of robots and other gadgets
Pairing with VR devices
From gaming to bringing back abilities to new experiences
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
input signal grouping for action decision
best output signal pick
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
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?
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.
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.