压缩服对运行过程中疲劳行为的影响基于非线性动态分析
Kourosh Bajelani1, Ahmed R Arshi1, Amir N Akhavan2
1Biomechanics and Sports Engineering Groups, Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran.
Sports biomechanics
|January 8, 2025
概括
压缩服 (CGs) 减少运行过程中的动力学波动和复杂性,表明运动员疲劳的发展速度较慢. 这种生物力学分析量化了CG对性能提升的好处.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学 运动科学
- 人类运动分析 人类运动分析
背景情况:
- 压缩服 (CGs) 在体育运动中越来越多地用于潜在的性能提升.
- 之前对CG的研究主要使用了定性和生理方法.
- 要了解CG对疲劳的影响,需要进行定量生物力学分析.
研究的目的:
- 量化评估压缩服 (CGs) 对跑步过程中的生物力学疲劳的影响.
- 提供数据,帮助教练和运动员采用提高绩效的CG.
- 分析动力学变化和运动复杂性,有或没有CG.
主要方法:
- 利用二维相位图来测量运行任务期间的动力学变化.
- 采用局部流量变化方法来量化由于疲劳而在状态空间中的轨迹漂移.
- 评估了使用变的动力学变化的复杂性.
主要成果:
- 发现压缩服 (CGs) 可以减少运行动力学的波动.
- 随着CG的使用,疲劳发展的速度减少了.
- 在运行过程中,CG导致运动动力学复杂性降低.
结论:
- 压缩服 (CGs) 显然会在跑步时改变生物力学疲劳模式.
- 定量分析支持使用CG来缓解疲劳和提高运动效率.
- 这些发现为CG在运动训练和表现中的采用提供了生物力学基础.
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