EMG controlled Games to aid Upper Limb Amputees in Signal Quality and Control
This project is set to contribute to neuromuscular rehabilitation of upper limb amputees from a technical as well as a patient-centered view. To enable prostheses to act in a more natural behaviour, they require multiple degrees of freedom and simultaneous execution of movements. Thus the aim is to evaluate specific pattern recognition algorithms with regard to accuracy and control. The subsequent results are applied in a rehabilitation setting for improving EMG signal quality and control, in which patients can control computer input with EMG signals in a virtual reality, as well as in games for dexterity.
Algorithms are provided within BioPatRec, a modular platform, which includes issue tracking and an extensive wiki. This transparent implementation aims to facilitate collaboration and speed up utilization.
(C. Prahm, M. Ortiz-Catalan)