步与步的波动和肌肉活动的时间模式在跑步诱导的疲劳中表现出更强的关系

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Christos Chalitsios¹, Vasileios Mylonas², Nick Stergiou^1,2

¹AUTH Biomechanics Laboratory, School of Physical Education and Sports Science, Aristotle, University of Thessaloniki, Thessaloniki, Greece.

Scandinavian journal of medicine & science in sports

|February 9, 2026

概括

高强度跑步疲劳强化了步伐时间和肌肉激活之间的联系. 这表明,当机动系统疲劳时,它变得不那么灵活,更紧.

科学领域:

生物力学生物力学
人体生理学人体生理学
发动机控制器的控制器

背景情况:

步步间的波动和肌肉激活模式在正常步行过程中具有时间相似性.
了解疲劳如何影响这种关系对于优化跑步表现和预防伤害至关重要.

研究的目的:

研究高强度跑步引起的疲劳对步伐时间变化和肌肉激活模式之间的合的影响.
为了确定疲劳是否会改变运动器官系统的复杂性和协调.

主要方法:

十一名经验丰富的跑步者进行了两次400米的跑步,并进行了疲劳诱导的休息.
步伐时间间隔 (STI) 通过IMU和肌肉间峰值间隔 (IMPI) 从Vastus Lateralis和Gastrocnemius Medialis的EMG测量.
分析了时间序列的赫斯特指数和变量系数 (CV),与STI和IMPI指标相关;通过肌肉氧和 (SmO2) 和EMG频率评估疲劳.

主要成果:

疲劳显著降低了肌肉的氧气和,改变了EMG特征,表明神经肌肉灵活性降低.
在疲劳后的所有时间序列中观察到更高的赫斯特指数值,表明信号持久性增加.
步伐时间间隔和肌肉间峰值间隔的相关性在疲劳状态下显著增加,表明合加强.

结论:

高强度疲劳增强了步骤到步骤波动和肌肉激活模式之间的合.
疲的运动机动系统重新组织成一个更紧密的合,不那么灵活的状态.
研究结果表明,疲劳诱导的神经肌肉控制的变化背后是观察到的步态变化-肌肉激活合的加强.

关键词:

生物力学生物力学复杂性的复杂性复杂性的复杂性步态步态步态步态机车运动机车运动变化的可变性.

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