摔中的技能差异化:神经肌肉控制中的肌肉复杂性和局部动态稳定性之间的关系
Kazem Esfandiarian-Nasab1, Mansour Eslami1, Fateme Salari-Esker1
1Department of Motor Behavior and Sports Biomechanics, Faculty of Sport Sciences, University of Mazandaran, Mazandaran, Iran.
Journal of motor behavior
|December 1, 2025
概括
精英摔者在电肌图 (EMG) 信号中表现出更大的复杂性和局部动态稳定性 (LDS). 复杂性是区分技能水平的关键因素,建议为摔手量身定制的训练计划.
科学领域:
- 运动科学 运动科学 运动科学
- 神经肌肉生理学 神经肌肉生理学
- 生物机械分析 生物机械分析
背景情况:
- 电肌图 (EMG) 信号的复杂性和局部动态稳定性 (LDS) 对于理解运动控制至关重要.
- 在摔等动态运动中区分技能水平依赖于分析这些神经肌肉指标.
研究的目的:
- 调查EMG信号复杂性和摔者的LDS之间的关系.
- 阐明神经肌肉机制区分精英与次精英摔者.
主要方法:
- 计算了Higuchi碎形维度 (FD) 的复杂性和最大的Lyapunov指数 (LLE) 的上肢EMG信号的LDS.
- 分析了72名精英和次精英摔者的EMG数据,这些摔者在手臂拉和双腿攻击期间.
- 采用皮尔森的相关性和随机森林分析来评估关系和技能差异化的重要性.
主要成果:
- 精英摔者与次精英摔者相比,表现出明显更高的复杂性,LDS和这些措施之间的相关性.
- 随机森林分析发现EMG信号的复杂性比LDS在区分技能水平方面更为关键.
- 在精英摔者的EMG信号中,复杂性和LDS之间观察到强烈的正相关性.
结论:
- 摔培训计划应该是特定于技能水平的,从基本的运动控制和LDS发展到包含复杂的练习.
- 通过定制训练来提高运动控制和适应能力,可以提高摔者的技能水平.
- EMG信号的复杂性和LDS为优化摔运动员发展提供了宝贵的见解.
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