Surface electromyography (SEMG) normalization method based on pre fatigue maximal voluntary contraction

Surface electromyography (SEMG) normalization method based on pre fatigue maximal voluntary contraction

Surface electromyography (sEMG) pattern recognition task requires high accuracy classification. However, current technology suffers from two main problems. The first problem is inconsistent pattern due to fatigue while the second is robustness of sEMG features due to low signal to noise ratio, SNR....

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書目詳細資料
主要作者:	Mohd Sabri, Muhammad Ihsan
格式:	Thesis
語言:	English English
出版:	2017
主題:	T Technology (General)
在線閱讀:	http://eprints.utem.edu.my/id/eprint/20616/1/Surface%20Electromyography%20%28SEMG%29%20Normalization%20Method%20Based%20On%20Pre%20Fatigue%20Maximal%20Voluntary%20Contraction.pdf http://eprints.utem.edu.my/id/eprint/20616/2/Surface%20electromyography%20%28SEMG%29%20normalization%20method%20based%20on%20pre%20fatigue%20maximal%20voluntary%20contraction.pdf
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