Wavelet Packet Feature Assessment for High-density Myoelectric Pattern Recognition and Channel Selection toward Stroke Rehabilitation

This study presented wavelet packet feature assessment of neural control information in paretic upper-limb muscles of stroke survivors for myoelectric pattern recognition, taking advantage of high-resolution time-frequency representations of surface electromyographic (EMG) signals. On this basis, a...

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Bibliographic Details
Main Authors: Dongqing Wang, Xu Zhang, Xiaoping Gao, Xiang Chen, Ping Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2016-11-01
Series:Frontiers in Neurology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fneur.2016.00197/full

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