Volume 48 Number 6, 2011
Pages 669 — 678
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.
Last Reviewed or Updated Monday, July 11, 2011 9:20 AM