Original paper

Effect of clinical parameters on the control of myoelectric robotic prosthetic hands

Volume: 53, Issue: 3, Pages: 345 - 358
Published: Jan 1, 2016
Abstract
Improving the functionality of prosthetic hands with noninvasive techniques is still a challenge. Surface electromyography (sEMG) currently gives limited control capabilities; however, the application of machine learning to the analysis of sEMG signals is promising and has recently been applied in practice, but many questions still remain. In this study, we recorded the sEMG activity of the forearm of 11 male subjects with transradial amputation...
Paper Details
Title
Effect of clinical parameters on the control of myoelectric robotic prosthetic hands
Published Date
Jan 1, 2016
Volume
53
Issue
3
Pages
345 - 358
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