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

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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Bibliographic Details
Main Authors: Xiaoyun Liu, Xugang Xi, Xian Hua, Hujiao Wang, Wei Zhang
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2020/8824194

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