Regain dexterity with Next Gen Prosthesis System.

 

We strongly differentiate ourselves in terms of product innovation using modern technology, rigorous testing and best quality of service to get the best possible user experience. Also,our system can be fitted to users even in low resource settings.

 

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Next Gen EMG Pattern Recognition based Control

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.

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