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跑步过程中的肌电图模式:个体内和个体间的可变性。

EMG patterns during running: Intra- and inter-individual variability.

机构信息

Istituto Superiore di Educazione Fisica, Rome, Italy.

出版信息

J Electromyogr Kinesiol. 1996 Mar;6(1):37-48. doi: 10.1016/1050-6411(95)00015-1.

Abstract

Rectified surface electromyographic (EMG) patterns of five healthy, young, physically-fit subjects running at 4.2 m s(-1) on a treadmill were recorded with the objective of defining a normal profile of EMG activity for running gait. This knowledge is important in understanding how the central nervous system (CNS) controls simple running tasks under normal conditions. The EMG signals from seven muscles (erector spinae, rectus femoris, vastus medialis, vastus lateralis, biceps femoris, tibialis anterior and gastrocnemius) were recorded, together with footswitch signals. The intra- and inter-individual variability of each muscle's EMG profile and peak times were analysed. Interindividual EMG peak time values were analysed to define the timing of the activity of the muscles studied relative to the stride cycle and its subphases. For each muscle, little variation was found within individuals in EMG profile and peak time across trials, but differences between subjects were significant (P < 0.01). EMG peak time analysis showed two distinct activation sequences of different muscles: the first at stance phase and the second at terminal swing. In conclusion, in spite of a significant variability among subjects in EMG profile and peak time values for each muscle, the EMG peak timing analysis showed a sequence of activation at stance phase, no EMG peak activity during the first double swing and another sequence of activation during terminal swing. These findings are evidence of a neuromuscular control strategy common to all subjects.

摘要

对 5 名健康、年轻、体能良好的受试者在跑步机上以 4.2 m s(-1) 的速度跑步时的矫正表面肌电图(EMG)模式进行了记录,目的是确定跑步步态中 EMG 活动的正常模式。这一知识对于理解中枢神经系统(CNS)在正常条件下如何控制简单的跑步任务非常重要。记录了来自七个肌肉(竖脊肌、股直肌、股内侧肌、股外侧肌、股二头肌、胫骨前肌和腓肠肌)的 EMG 信号以及脚踏开关信号。分析了每个肌肉的 EMG 图谱和峰值时间的个体内和个体间变异性。对个体间的 EMG 峰值时间值进行了分析,以确定所研究肌肉的活动相对于步幅周期及其子阶段的时间。对于每个肌肉,在个体内的试验中,EMG 图谱和峰值时间的个体内变异性很小,但个体之间的差异具有统计学意义(P < 0.01)。EMG 峰值时间分析显示了不同肌肉的两个不同激活序列:第一个在站立阶段,第二个在终末期摆动。总之,尽管每个肌肉的 EMG 图谱和峰值时间值在个体之间存在显著的变异性,但 EMG 峰值时间分析显示了站立阶段的激活序列,在第一次双摆动期间没有 EMG 峰值活动,在终末期摆动期间还有另一个激活序列。这些发现证明了所有受试者都存在一种共同的神经肌肉控制策略。

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