Estimation of muscle fatigue using surface electromyography and near-infrared spectroscopy

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Abstract

This study looks at various parameters, derived from surface electromyography (sEMG) and Near Infrared Spectroscopy (NIRS) and their relationship in muscle fatigue during a static elbow flexion until exhaustion as well as during a semidynamic exercise.We found a linear increasing trend for a corrected amplitude parameter and a linear decreasing slope for the frequency content of the sEMG signal. The tissue oxygenation index (TOI) extracted from NIRS recordings showed a four-phase response for all the subjects. A strong correlation between frequency content of the sEMG signal and TOI was established. We can conclude that both sEMG and NIRS give complementary information concerning muscle fatigue. © 2011 Springer Science+Business Media, LLC.

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Taelman, J., Vanderhaegen, J., Robijns, M., Naulaers, G., Spaepen, A., & Van Huffel, S. (2011). Estimation of muscle fatigue using surface electromyography and near-infrared spectroscopy. In Advances in Experimental Medicine and Biology (Vol. 701, pp. 353–359). Springer New York LLC. https://doi.org/10.1007/978-1-4419-7756-4_48

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