Extracting Control Information from Multi-channel Surface EMG Signals to Drive a Musculoskeletal Model

Electromyography (EMG) signals have been used for multiple degrees-of-freedom (DOFs) continuous control of myoelectric prostheses. Recently, musculoskeletal models (MMs) have been studied to decode hand and wrist movements from EMG signals. In this study, we proposed an MM combined with a non-negative matrix factorization algorithm (NMF-MM) to predict wrist Pro/Sup movements. 8-channel EMG signals...