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Updated: Jun 3, 2026
Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
Published on: July 27, 2015
Estimation of muscle fatigue using surface electromyography and near-infrared spectroscopy
Joachim Taelman1, Joke Vanderhaegen, Mieke Robijns
1ESAT/SCD, Dept. of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium. joachim.taelman@faber.kuleuven.be
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.
