Improving the Robustness of Electromyogram-Pattern Recognition for Prosthetic Control by a Postprocessing Strategy

Improving the Robustness of Electromyogram-Pattern Recognition for Prosthetic Control by a Postprocessing Strategy

Electromyogram (EMG) contains rich information for motion decoding. As one of its major applications, EMG-pattern recognition (PR)-based control of prostheses has been proposed and investigated in the field of rehabilitation robotics for decades. These prostheses can offer a higher level of dexterit...

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Bibliographic Details
Main Authors: Xu Zhang, Xiangxin Li, Oluwarotimi Williams Samuel, Zhen Huang, Peng Fang, Guanglin Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-09-01
Series:Frontiers in Neurorobotics
Subjects:
pattern recognition
electromyogram
myoelectric prosthesis
motion onset detection
postprocessing
robustness
Online Access:http://journal.frontiersin.org/article/10.3389/fnbot.2017.00051/full

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