在先进和初学者羽毛球运动员的球拍重量适应的研究
Zhengye Pan1, Lushuai Liu1, Xingman Li1
1College of Physical Education and Sports, Beijing Normal University, Beijing, China.
Applied bionics and biomechanics
|February 2, 2024
概括
高级羽毛球运动员通过调整肌肉激活时间来适应更重的球拍,与初学者不同. 运动经验有助于通过协同计时更快地适应,而不是通过增加使用的肌肉群.
科学领域:
- 生物力学 生物力学
- 发动机控制器的控制器
- 运动科学 运动科学 运动科学
背景情况:
- 羽毛球中的跳击是复杂的,积极的机动.
- 之前的研究孤立了运动员生物力学或球衣参数,忽视了人-球衣系统.
- 了解球拍重量如何影响神经肌肉策略对于性能优化至关重要.
研究的目的:
- 为了研究不同球拍重量 (3U与5U) 对神经肌肉控制策略的影响.
- 为了比较高级和初学者羽毛球运动员之间的适应机制.
- 在球拍重量变化的背景下,探索肌肉协同作用和运动性能之间的关系.
主要方法:
- 使用非负矩阵分解 (NMF) 来提取跳跃撞击期间的肌肉协同作用.
- 雇佣K-意味着集群,以确定基本的肌肉协同作用.
- 应用无控制多重体 (UCM) 分析,将协同效应与运动性能联系起来.
- 将表面电肌图 (sEMG) 数据映射到脊髓段.
主要成果:
- 经验丰富的球员的姿势肌肉激活 (P <0.05) 和初学者上肢肌肉 (P <0.001) 的显著差异在球拍重量增加时被观察到.
- 先进的参与者通过调整他们第三次协同激活的时间来适应.
- 高级玩家的协同作用集中在后摆上,而初学者则集中在前摆上.
结论:
- 先进的球员通过有效地协调姿势和上肢肌肉,表现出对不同球拍重量的卓越适应能力.
- 机动体验有助于更快地适应更重的球拍,主要是通过对协同计时和共变的调整.
- 适应策略在技能水平之间有很大的差异,突出了经验在神经肌肉控制中的作用.
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