At-home computer-aided myoelectric training system for wrist prosthesis

Abstract

Development of tools for rehabilitation and restoration of the movement after amputation can benefit from the real time interactive virtual animation model of the human hand. Here, we report a computer-aided training/learning system for wrist disarticulated amputees, using the open source integrated development environment called “Processing”. This work also presents the development of a low-cost surface Electro-MyoGraphic (sEMG) interface, which is an ideal tool for training and rehabilitation applications. The processed sEMG signals are encoded after digitization to control the animated hand. Experimental results demonstrate the effectiveness of the sEMG control system in acquiring sEMG signals for real-time control. Users have also the ability to connect their prostheses with the training system and observe its operation for a more explicit demonstration of movements.