Evaluating Internal Model Strength and Performance of Myoelectric Prosthesis Control Strategies

IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society
Ahmed W ShehataJonathon W Sensinger

Abstract

On-going developments in myoelectric prosthesis control have provided prosthesis users with an assortment of control strategies that vary in reliability and performance. Many studies have focused on improving performance by providing feedback to the user but have overlooked the effect of this feedback on internal model development, which is key to improve long-term performance. In this paper, the strength of internal models developed for two commonly used myoelectric control strategies: raw control with raw feedback (using a regression-based approach) and filtered control with filtered feedback (using a classifier-based approach), were evaluated using two psychometric measures: trial-by-trial adaptation and just-noticeable difference. The performance of both strategies was also evaluated using Schmidt's style target acquisition task. Results obtained from 24 able-bodied subjects showed that although filtered control with filtered feedback had better short-term performance in path efficiency ( ), raw control with raw feedback resulted in stronger internal model development ( ), which may lead to better long-term performance. Despite inherent noise in the control signals of the regression controller, these findings suggest that r...Continue Reading

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Citations

Aug 2, 2018·Journal of Neuroengineering and Rehabilitation·Ahmed W ShehataJonathon W Sensinger
Apr 11, 2020·Frontiers in Neuroscience·Ahmed W ShehataJacqueline S Hebert
May 20, 2020·Frontiers in Bioengineering and Biotechnology·Andrea GigliClaudio Castellini
Jun 6, 2018·Scientific Reports·Ahmed W ShehataJonathon W Sensinger
Dec 12, 2018·Scientific Reports·Eric J EarleyJon W Sensinger
Mar 17, 2020·Biomedical Engineering Letters·Erik J WolfMichael Wolfson
Apr 13, 2019·Journal of Neuroengineering and Rehabilitation·Enzo MastinuMax Ortiz-Catalan
Jul 14, 2020·Frontiers in Neuroscience·Jonathon W Sensinger, Strahinja Dosen

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