EMG spectral indices and muscle power fatigue during dynamic contractions |
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| Authors: | M. González-Izal A. Malanda I. Navarro-Amézqueta E.M. Gorostiaga F. Mallor J. Ibañez M. Izquierdo |
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| Affiliation: | 1. Professor, Iranian Research Centre on Aging, Department of Physiotherapy, University of Social Welfare and Rehabilitation Sciences, Evin, Tehran, Iran;2. Visiting Professor, University Institute of Physical Therapy, Faculty of Allied Health Sciences, University of Lahore, Lahore, Pakistan;3. PhD Student, Department of Physiotherapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran;4. Assistant Professor, Department of Physiotherapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran;5. Assistant Professor, Department of Physiotherapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran;6. PhD Student, Department of Physiotherapy, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran;7. Assistant Professor, Department of Physical Therapy, University Institute of Physical Therapy, University of Lahore, Lahore, Pakistan;1. Mathematical Biology and Physiology, Dipartimento di Elettronica e Telecomunicazioni, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Turin, Italy;2. Motor Science Research Center, School of Exercise and Sport Sciences, SUISM, Department of Medical Sciences, University of Turin, Piazza Bernini 12, 10143 Torino, Italy;3. CeRiSM Research Center ‘Sport, Mountain, and Health’, Via Matteo del Ben 5/B, 38068 Rovereto (TN), Italyn |
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| 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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