%0 Journal Article
%T Evaluation of shoulder complex motion-based input strategies for endpoint prosthetic-limb control using dual-task paradigm
%A Yves Losier
%A MScEE
%A PhD
%A PEng
%A Kevin Englehart
%A MScEE
%A PhD
%A PEng
%A Bernard Hudgins
%A MScEE
%A PhD
%A PEng
%J Journal of Rehabilitation Research and Development
%D 2011
%I Rehabilitation Research and Development Service, Department of Veterans Affairs
%X 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.
%K amputation
%K dual-task paradigm
%K EMG
%K endpoint control
%K myoelectric signals
%K pattern recognition
%K powered prostheses
%K rehabilitation
%K residual limb position
%K shoulder motion.
%U http://www.rehab.research.va.gov/jour/11/486/pdf/losier486.pdf