Myoelectric prosthesis uses the muscle’s bioelectric signals generated during co-contraction cycles to control the hand movement.
The existing conventional two site-electrode based control system will always have to be dependent on mode change option, app based configuration or external hardware beacons to select between different grips for controlling the multi-articulating hand. Also, many users find it difficult to control and experience muscle fatigue while using such a system.
To overcome this problem, we have developed a multi-EMG sensor module which can sense muscle-signals from multiple muscle sites. When a user performs intentional grip a unique signal pattern is generated due to muscle activities in the residual limb which are then decoded by pattern recognition algorithm to control the prosthesis.