Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses
Published on Dec 1, 2019in Journal of Neuroengineering and Rehabilitation3.58
· DOI :10.1186/s12984-019-0516-x
Background Current myoelectric control algorithms for active prostheses map time- and frequency-domain features of the interference EMG signal into prosthesis commands. With this approach, only a fraction of the available information content of the EMG is used and the resulting control fails to satisfy the majority of users. In this study, we predict joint angles of the three degrees of freedom of the wrist from motor unit discharge timings identified by decomposition of high-density surface EMG.