Journal of Rehabilitation Research & Development (JRRD)

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Volume 48 Number 6, 2011
   Pages 643 — 660

Abstract —  Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use

Erik Scheme, MSc, PEng; Kevin Englehart, PhD, PEng*

Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada

Abstract — Using electromyogram (EMG) signals to control upper-limb prostheses is an important clinical option, offering a person with amputation autonomy of control by contracting residual muscles. The dexterity with which one may control a prosthesis has progressed very little, especially when controlling multiple degrees of freedom. Using pattern recognition to discriminate multiple degrees of freedom has shown great promise in the research literature, but it has yet to transition to a clinically viable option. This article describes the pertinent issues and best practices in EMG pattern recognition, identifies the major challenges in deploying robust control, and advocates research directions that may have an effect in the near future.

Key words: amputee, electromyogram, EMG, linear discriminant analysis, myoelectric control, pattern recognition, prosthetics, rehabilitation, signal processing, upper limb.


View HTML  ¦  View PDF  ¦  Contents Vol. 48, No. 6
This article and any supplementary material should be cited as follows:
Scheme E, Englehart K. Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use. J Rehabil Res Dev. 2011;48(6):643-60.
DOI:10.1682/JRRD.2010.09.0177
Crossref

Last Reviewed or Updated  Monday, July 11, 2011 9:31 AM

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