Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 56, Issue 4, Pages 1070-1080Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2008.2007967
Keywords
Electromyography (EMG); myoelectric control; nonnegative matrix factorization (NMF); powered prosthetics
Categories
Funding
- National Sciences and Engineering Research Council of Canada (NSERC) [217354-05, 4445-04]
- NSERC PGS-D scholarship
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available