Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection

L. A. Flórez-Prias; S. H. Contreras-Ortiz

doi:10.1117/12.2285950

17 November 2017 Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection

L. A. Flórez-Prias, S. H. Contreras-Ortiz

Proceedings Volume 10572, 13th International Conference on Medical Information Processing and Analysis; 105720S (2017) https://doi.org/10.1117/12.2285950
Event: 13th International Symposium on Medical Information Processing and Analysis, 2017, San Andres Island, Colombia

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.

Citation Download Citation

L. A. Flórez-Prias and S. H. Contreras-Ortiz "Analysis of sEMG signals using discrete wavelet transform for muscle fatigue detection", Proc. SPIE 10572, 13th International Conference on Medical Information Processing and Analysis, 105720S (17 November 2017); https://doi.org/10.1117/12.2285950

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