EMG spectral indices and muscle power fatigue during dynamic contractions

被引:136
|
作者
Gonzalez-Izal, M. [1 ,2 ]
Malanda, A. [2 ]
Navarro-Amezqueta, I. [1 ]
Gorostiaga, E. M. [1 ]
Mallor, F. [3 ]
Ibanez, J. [1 ]
Izquierdo, M. [1 ]
机构
[1] Govt Navarre, Studies Res & Sport Med Ctr, Pamplona 31005, Navarre, Spain
[2] Univ Publ Navarra, Dept Elect & Elect Engn, Navarra, Spain
[3] Univ Publ Navarra, Dept Stat & Operat Res, Navarra, Spain
关键词
Median frequency; EMG; Time frequency distribution; Muscle fatigue; MYOELECTRIC SIGNALS; KNEE EXTENSIONS; FREQUENCY; ELECTROMYOGRAM; TORQUE; VALIDATION; PARAMETERS; VELOCITY; RECOVERY; EXERCISE;
D O I
10.1016/j.jelekin.2009.03.011
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码:233 / 240
页数:8
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