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EMG spectral indices and muscle power fatigue during dynamic contractions

机译:动态收缩期间的肌电图频谱指数和肌肉力量疲劳

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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 andMFMas 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.
机译:这项研究的目的是检查动态疲劳方案期间急性运动引起的肌肉力量输出和表面肌电图(sEMG)参数(肌肉疲劳的幅度和频谱指数)的变化。 15名受过训练的受试者进行了五组训练,包括10次腿部推举(10RM),每组之间休息2分钟。从股内侧肌(VM)和外侧肌(VL)和股二头肌(BF)肌肉记录表面肌电图。比较了许多基于EMG的参数,以评估估计准确性和检测周围肌肉疲劳的敏感性。它们是:平均平均电压,中值频谱频率,肌肉疲劳的Dimitrov频谱指数(FInsm5),以及从时频分析(Choi-Williams分布)获得的其他参数,例如瞬时频率和频率的均值和方差方差。 log FInsm5作为单参数预测变量占肌肉力量变化表现方差的37%,log FInsm5和MFMas两因子组合预测变量占44%。通过sEMG频谱指数FInsm5评估的外围损伤可能是动态高负荷疲劳任务后功率输出损失的相关因素。

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