解开精英和次精英摔者的混乱运动模式,使用多维复发量化分析的快速下降技术来解开肌肉活动的混乱运动模式
Kazem Esfandiarian-Nasab1, Mansour Eslami1, Fateme Salari-Esker1
1Department of Motor Behavior and Sports Biomechanics, Faculty of Sport Sciences, University of Mazandaran, Mazandaran, Iran.
Computers in biology and medicine
|July 2, 2025
概括
精英摔者通过增强的稳定性和适应性来表现出卓越的运动控制,利用混乱的动态来达到最佳表现. 这种非线性分析揭示了优化运动训练的关键见解.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 神经科学是一个神经科学.
背景情况:
- 运动的成功取决于一致的,可适应的复杂运动模式.
- 自由式摔需要由于不可预测的行动而快速调整.
- 传统的线性分析无法捕捉精英运动运动的非线性动态.
研究的目的:
- 研究神经肌肉协调模式中的重复性,稳定性和适应性.
- 使用非线性动态来比较精英和次精英摔者.
- 将多维复发量化分析 (MDRQA) 应用于摔技巧.
主要方法:
- 在快速下降技术中,记录了上肢主要肌肉的电肌图 (EMG) 信号.
- 使用多维复发量化分析 (MDRQA).
- 使用确定性 (%DET) 和分层性 (%LAM) 评估重复性和稳定性;用复杂性和适应性测量复杂性和适应性,重复性模式 (EntL,EntV).
主要成果:
- 精英摔者表现出明显更高的%DET和%LAM,显示出优越的运动模式一致性.
- 精英摔者表现出更高的EntL和EntV值,这意味着神经肌肉复杂性和适应性增加.
- 研究结果表明,精英的表现依赖于利用混乱的动态.
结论:
- 像MDRQA这样的非线性方法对于理解运动运动控制至关重要.
- 洞察力可以为训练计划提供信息,以提高运动员的一致性,适应性和复杂性.
- 优化这些因素可以在不可预测的竞争环境中提高性能.
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