Feature Extraction of Surface Electromyography Using Wavelet Weighted Permutation Entropy for Hand Movement Recognition

The feature extraction of surface electromyography (sEMG) signals has been an important aspect of myoelectric prosthesis control. To improve the practicability of myoelectric prosthetic hands, we proposed a feature extraction method for sEMG signals that uses wavelet weighted permutation entropy (WW...

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Detalles Bibliográficos
Autores principales: Liu, Xiaoyun, Xi, Xugang, Hua, Xian, Wang, Hujiao, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707938/
https://www.ncbi.nlm.nih.gov/pubmed/33299536
http://dx.doi.org/10.1155/2020/8824194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707938/
https://www.ncbi.nlm.nih.gov/pubmed/33299536
http://dx.doi.org/10.1155/2020/8824194

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