The amputation of an upper extremity is an unfortunate reality for many people throughout the world for a variety of reasons. Prosthetics provide a way for many people to regain some functionality of an upper extremity. Myoelectric prosthetics using electromyography (EMG) signals provide maximal functionality for prosthetic devices while minimizing cost. Simple myoelectric prosthetics utilize EMG signals to control one or two degrees of freedom, although pattern recognition algorithms can be used to create more complex prostheses that better mimic the complexity of the upper extremities. This project demonstrates the use of EMG signals in a myoelectric prosthetic grip with one degree of freedom.
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