Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing

PloS One
Han-Jeong HwangKlaus-Robert Müller

Abstract

There are some practical factors, such as arm position change and donning/doffing, which prevent robust myoelectric control. The objective of this study is to precisely characterize the impacts of the two representative factors on myoelectric controllability in practical control situations, thereby providing useful references that can be potentially used to find better solutions for clinically reliable myoelectric control. To this end, a real-time target acquisition task was performed by fourteen subjects including one individual with congenital upper-limb deficiency, where the impacts of arm position change, donning/doffing and a combination of both factors on control performance was systematically evaluated. The changes in online performance were examined with seven different performance metrics to comprehensively evaluate various aspects of myoelectric controllability. As a result, arm position change significantly affects offline prediction accuracy, but not online control performance due to real-time feedback, thereby showing no significant correlation between offline and online performance. Donning/doffing was still problematic in online control conditions. It was further observed that no benefit was attained when using a...Continue Reading

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Mar 20, 2021·Journal of Neuroengineering and Rehabilitation·Platon LukyanenkoMatthew R Williams

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BETA
amputation

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MATLAB

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