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Proceedings Paper

Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection
Author(s): L. A. Flórez-Prias; S. H. Contreras-Ortiz
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Paper Abstract

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.

Paper Details

Date Published: 17 November 2017
PDF: 10 pages
Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720S (17 November 2017); doi: 10.1117/12.2285950
Show Author Affiliations
L. A. Flórez-Prias, Univ. Tecnológica de Bolívar (Colombia)
S. H. Contreras-Ortiz, Univ. Tecnológica de Bolívar (Colombia)

Published in SPIE Proceedings Vol. 10572:
13th International Conference on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore; Jorge Brieva; Juan David García, Editor(s)

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