Journal of Rehabilitation Research & Development (JRRD)

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Volume 48 Number 6, 2011
   Pages 669 — 678

Abstract —  Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm

Yves Losier, MScEE, PhD, PEng;* Kevin Englehart, MScEE, PhD, PEng; Bernard Hudgins, MScEE, PhD, PEng

Institute of Biomedical Engineering, Department of Electrical and Computer Engineering, University of New Brunswick, Fredericton, Canada

Abstract — This article describes the design and evaluation of two comprehensive strategies for endpoint-based control of multiarticulated powered upper-limb prostheses. One method uses residual shoulder motion position; the other solely uses myoelectric signal pattern classification. Both approaches are calibrated for individual users through a short training protocol. The control systems were assessed both quantitatively and qualitatively with use of a functional usability protocol based on a dual-task paradigm. The results revealed that the residual motion-based strategy outperformed the myoelectric signal-based scheme, while neither strategy appeared to significantly increase the mental burden demanded of the users.

Key words: amputation, dual-task paradigm, EMG , endpoint control, myoelectric signals, pattern recognition, powered prostheses, rehabilitation, residual limb position, shoulder motion.


View HTML  ¦  View PDF  ¦  Contents Vol. 48, No. 6
This article and any supplementary material should be cited as follows:
Losier Y, Englehart K, Hudgins B. Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm. J Rehabil Res Dev. 2011;48(6):669-78.
DOI:10.1682/JRRD.2010.08.0165
Crossref

Last Reviewed or Updated  Monday, July 11, 2011 9:20 AM

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