EMG spectral indices and muscle power fatigue during dynamic contractions

Abstract The purpose of this study was to examine acute exercise-induced changes on muscle power output and surface electromyography (sEMG) parameters (amplitude and spectral indices of muscle fatigue) during a dynamic fatiguing protocol. Fifteen trained subjects performed five sets consisting of 10...

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Published inJournal of electromyography and kinesiology Vol. 20; no. 2; pp. 233 - 240
Main Authors González-Izal, M, Malanda, A, Navarro-Amézqueta, I, Gorostiaga, E.M, Mallor, F, Ibañez, J, Izquierdo, M
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.04.2010
Subjects
Adult
Algorithms
Electromyography - methods
EMG
Humans
Male
Median frequency
Muscle Contraction - physiology
Muscle fatigue
Muscle Fatigue - physiology
Muscle, Skeletal - physiology
Physical Endurance - physiology
Physical Medicine and Rehabilitation
Time frequency distribution
Median frequency
Time frequency distribution
Muscle fatigue
EMG
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Summary:Abstract The purpose of this study was to examine acute exercise-induced changes on muscle power output and surface electromyography (sEMG) parameters (amplitude and spectral indices of muscle fatigue) during a dynamic fatiguing protocol. Fifteen trained subjects performed five sets consisting of 10 leg presses (10RM), with 2 min rest between sets. Surface electromyography was recorded from vastus medialis (VM) and lateralis (VL) and biceps femoris (BF) muscles. A number of EMG-based parameters were compared for estimation accuracy and sensitivity to detect peripheral muscle fatigue. These were: Mean Average Voltage, median spectral frequency, Dimitrov spectral index of muscle fatigue (FInsm5 ), as well as other parameters obtained from a time–frequency analysis (Choi–Williams distributions) such as mean and variance of the instantaneous frequency and frequency variance. The log FInsm5 as a single parameter predictor accounted for 37% of the performance variance of changes in muscle power and the log FInsm5 and MFM as a two factor combination predictor accounted for 44%. Peripheral impairments assessed by sEMG spectral index FInsm5 may be a relevant factor involved in the loss of power output after dynamic high-loading fatiguing task.
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ISSN:1050-6411
1873-5711
DOI:10.1016/j.jelekin.2009.03.011