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Frequency band analysis of muscle activation during cycling to exhaustion

机译:循环至疲惫期间肌肉激活的频带分析

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Lower limb muscles activation was assessed during cycling to exhaustion using frequency band analysis. Nine cyclists were evaluated in two days. On the first day, cyclists performed a maximal incremental cycling exercise to measure peak power output, which was used on the second day to define the workload for a constant load time to exhaustion cycling exercise (maximal aerobic power output from day 1). Muscle activation of vastus lateralis (VL), long head of biceps femoris (BF), lateral head of gastrocnemius (GL), and tibialis anterior (TA) from the right lower limb was recorded during the time to exhaustion cycling exercise. A series of nine band-pass Butterworth digital filters was used to analyze muscle activity amplitude for each band. The overall amplitude of activation and the high and low frequency components were defined to assess the magnitude of fatigue effects on muscle activity via effect sizes. The profile of the overall muscle activation during the test was analyzed using a second order polynomial, and the variability of the overall bands was analyzed by the coefficient of variation for each muscle in each instant of the test. Substantial reduction in the high frequency components of VL and BF activation was observed. The overall and low frequency bands presented trivial to small changes for all muscles. High relationship between the second order polynomial fitting and muscle activity was found (R2 > 0.89) for all muscles. High variability (~25%) was found for muscle activation at the four instants of the fatigue test. Changes in the spectral properties of the EMG signal were only substantial when extreme changes in fatigue state were induced.
机译:使用频带分析在骑车至疲惫期间评估下肢肌肉的激活。两天内对9名自行车选手进行了评估。在第一天,骑自行车的人进行了一次最大的增量自行车运动以测量峰值功率输出,第二天使用该运动来定义恒定的负荷时间到疲惫的自行车运动的工作量(从第一天开始的最大有氧功率输出)。在进行力竭循环运动期间,记录了右下肢的股外侧肌(VL),股二头肌长头(BF),腓肠肌外侧头(GL)和胫骨前肌(TA)的肌肉激活情况。一系列九个带通巴特沃斯数字滤波器用于分析每个频带的肌肉活动幅度。定义了总的激活幅度以及高频和低频分量,以通过效应大小评估疲劳对肌肉活动的影响大小。使用二阶多项式分析测试过程中总体肌肉激活情况,并通过测试的每个瞬间中每条肌肉的变异系数分析整个谱带的变异性。观察到VL和BF激活的高频成分大大降低。整个频段和低频频段对所有肌肉的变化都不大。发现所有肌肉的二阶多项式拟合与肌肉活动之间都具有高度相关性(R2> 0.89)。在疲劳测试的四个瞬间,发现肌肉激活具有较高的变异性(〜25%)。仅当引起疲劳状态的极端变化时,EMG信号的频谱特性才会发生实质性变化。

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