作为动力动作疲劳指数的运动变性:从最佳运动变性理论的角度来看
Fernando García-Aguilar1, Miguel López-Fernandez1, David Barbado1
1Sports Research Centre, Sport Sciences Department, Miguel Hernández University, Elche, Spain.
Journal of applied physiology (Bethesda, Md. : 1985)
|December 3, 2025
概括
对运动变化的非线性分析显示,在抵抗训练后,运动执行的疲劳诱导的变化. 这种使用加速信号的新方法提供了超越传统性能指标的洞察力,以优化训练和康复.
科学领域:
- 生物力学和运动生理学
- 运动控制和学习学习
- 运动科学与康复 运动科学与康复
背景情况:
- 传统的疲劳评估 (例如,反运动跳跃高度) 往往错过了微妙的补偿运动适应.
- 监测疲劳对于优化训练,防止过度训练和降低受伤风险至关重要.
- 运动变量的非线性分析提供了一种新的方法来检测疲劳期间运动执行的微妙变化.
研究的目的:
- 为了研究不同阻力训练模式 (力量,增强,最大力量) 对 squats 期间的运动变异性的影响.
- 为了比较运动变量的非线性分析与传统的疲劳测量.
- 评估惯性测量单元 (IMU) 对疲劳监测的有用性.
主要方法:
- 44名参与者在训练之前和训练后以1RM的70%的速度进行了坐.
- 使用IMU记录下腰部加速.
- 使用模糊 (FuEn) 和阻断波动分析 (DFA),以及反运动跳跃 (CMJ) 高度分析了运动变异性.
主要成果:
- 在所有培训模式中,CMJ高度显著下降.
- 没有观察到加速标准偏差 (SD) 的显著变化.
- 在过度缩和最大力量训练后,模糊 (FuEn) 增加,而延迟波动分析 (DFA) 减少,表明运动模式发生了变化.
结论:
- 运动变量的非线性分析为疲劳诱导的运动适应提供了宝贵的见解,补充了传统的指标.
- 使用IMU的这种具有成本效益的方法在优化培训和康复方面具有实际应用.
- 这些发现突出了非线性动态的潜力,可以提供对疲劳的更全面的理解.
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