期刊
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
卷 56, 期 4, 页码 1070-1080出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2008.2007967
关键词
Electromyography (EMG); myoelectric control; nonnegative matrix factorization (NMF); powered prosthetics
资金
- National Sciences and Engineering Research Council of Canada (NSERC) [217354-05, 4445-04]
- NSERC PGS-D scholarship
A novel signal processing algorithm for the surface electromyogram (EMG) is proposed to extract simultaneous and proportional control information for multiple DOFs. The algorithm is based on a generative model for the surface EMG. The model assumes that synergistic muscles share spinal neural drives, which correspond to the intended activations of different DOFs of natural movements and are embedded within the surface EMG. A DOF-wise nonnegative matrix factorization (NMF) is developed to estimate neural control information from the multichannel surface EMG. It is shown, both by simulation and experimental studies, that the proposed algorithm is able to extract the multidimensional control information simultaneously. A direct application of the proposed method would be providing simultaneous and proportional control of multifunction myoelectric prostheses.
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