Analysis of sEMG Signals using Discrete Wavelet Transform for Muscle Fatigue Detection

被引：0
|
作者：
Florez-Prias, L. A. [1 ]
Contreras-Ortiz, S. H. [1 ]
机构：
[1] Univ Tecnol Bolivar, Fac Engn, Parque Ind & Tecnol Carlos Velez Pombo, Cartagena De Indias 130010, Colombia
来源：
13TH INTERNATIONAL CONFERENCE ON MEDICAL INFORMATION PROCESSING AND ANALYSIS | 2017年 / 10572卷
关键词：
sEMG; Wavelet Transform; Muscle fatigue; CLASSIFICATION; SELECTION; EMG;
D O I：
10.1117/12.2285950
中图分类号：
R-058 [];
学科分类号：
摘要：
The purpose of the present article is to characterize sEMG signals to determine muscular fatigue levels. To do this, the signal is decomposed using the discrete wavelet transform, which offers noise filtering features, simplicity and efficiency. sEMG signals on the forearm were acquired and analyzed during the execution of cyclic muscular contractions in the presence and absence of fatigue. When the muscle fatigues, the sEMG signal shows a more erratic behavior of the signal as more energy is required to maintain the effort levels.
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页数：10
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