Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder

Volume: 13
Published: Sep 10, 2019
Abstract
Machine learning-based myoelectric control is regarded as an intuitive paradigm, because of the mapping it creates between muscle co-activation patterns and prosthesis movements that aims to simulate the physiological pathways found in the human arm. Despite that, there has been evidence that closed-loop interaction with a classification-based interface results in user adaptation, which leads to performance improvement with experience. Recently,...
Paper Details
Title
Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder
Published Date
Sep 10, 2019
Volume
13
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