title: Estimation of muscle fatigue using surface electromyography and near-infrared spectroscopy.
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.
authors: ESAT/SCD, Dept. of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium. joachim.taelman@faber.kuleuven.be
authors: Joachim
authors: J
authors: Taelman
authors: Joke
authors: J
authors: Vanderhaegen
authors: Mieke
authors: M
authors: Robijns
authors: Gunnar
authors: G
authors: Naulaers
authors: Arthur
authors: A
authors: Spaepen
authors: Sabine
authors: S
authors: Van Huffel
mesh_terms: D000328:Adult; D004576:Electromyography; D005260:Female; D006801:Humans; D008297:Male; D018763:Muscle Fatigue / Q000502:physiology*; D018482:Muscle, Skeletal / Q000502:physiology*; D010101:Oxygen Consumption; D019265:Spectroscopy, Near-Infrared; D055815:Young Adult