在反运动跳跃期间,数值集成技术之间的协议与年轻运动员的突出异常负荷的突出异常负荷
Thomas E Bright1,2, Jason Lake3, John R Harry4
1Youth Physical Development Centre, Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK.
Journal of sports sciences
|June 29, 2025
概括
逆向集成准确地计算了反运动跳跃时的性能变量,具有突出异常负荷 (CMJAEL). 垂直地面反应力 (vGRF) 方法提供了一个可行的替代方案,当只有力量平台可用时.
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:
- 精确的性能变量计算在体育科学中至关重要.
- 具有突出异常负荷的反运动跳跃 (CMJAEL) 是复杂的运动.
- 子释放时间是一个关键性能指标.
研究的目的:
- 为了评估性能变量的力量平台集成技术之间的一致性.
- 为了将三维 (3D) 运动捕捉与垂直地面反应力 (vGRF) 方法进行比较,用于在CMJAEL期间的手释放识别.
主要方法:
- 20名青少年用子 (20-30%的体重) 进行了CMJAEL.
- 使用布兰德-阿尔特曼分析和ANOVA比较了五种数值整合技术.
- 与vGRF估计相比,3D动作捕捉作为子释放的标准,与vGRF估计相比.
主要成果:
- 后向整合和在子释放时调整与标准一致.
- 前进整合和调整在底部位置没有.
- 与3D动作捕捉相比,vGRF方法显示,与3D动作捕捉相比,布释放识别延迟了 (-0.17至0.03秒LOA).
结论:
- 对CMJAEL性能变量来说,向后集成是可靠的.
- 当3D运动捕捉无法使用时,vGRF方法是一种实用的替代方案.
- 为了获得最佳的结果,将vGRF与前向和后向集成相结合.
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