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

This study presents 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 electromyogram (EMG) signals. On this basis, a nove...

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Detalles Bibliográficos
Autores principales: Wang, Dongqing, Zhang, Xu, Gao, Xiaoping, Chen, Xiang, Zhou, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116463/
https://www.ncbi.nlm.nih.gov/pubmed/27917149
http://dx.doi.org/10.3389/fneur.2016.00197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116463/
https://www.ncbi.nlm.nih.gov/pubmed/27917149
http://dx.doi.org/10.3389/fneur.2016.00197

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