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我的跳跃实验室应用程序的有效性和可靠性用于使用人工智能测量垂直跳跃性能
Carlos Balsalobre-Fernández1, Daniel Varela-Olalla1
1Applied Biomechanics and Sport Technology Research Group, Autonomous University of Madrid, 28049 Madrid, Spain.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
这项研究验证了My Jump Lab iOS应用程序用于评估反运动跳跃 (CMJ) 性能. 这款由人工智能驱动的应用程序准确地测量了跳跃高度,力,速度和功率,为强力板提供了便携式替代品.
科学领域:
- 运动科学 运动科学 运动科学
- 生物力学 生物力学
- 人类运动分析 人类运动分析
背景情况:
- 反运动跳跃 (CMJ) 是下体神经肌肉功能的一个关键指标.
- 准确测量CMJ表现对于运动评估和训练至关重要.
- 现有的测量工具,如强力板,可能是昂贵的,缺乏便携性.
研究的目的:
- 评估My Jump Lab iOS应用程序测量CMJ性能的有效性和可靠性.
- 将人工智能驱动的应用程序的测量与传统的力量平台进行比较.
- 在各种负载条件下 (0-70%的体重) 评估应用程序的准确性.
主要方法:
- 12名身体活跃的参与者在负载和空载条件下进行CMJ.
- 使用力量平台和My Jump Lab应用程序同时收集CMJ数据.
- 通过比较两种设备之间的测量来评估有效性.
- 使用克伦巴赫的α和变化系数来确定可靠性.
主要成果:
- 在CMJ高度,力,速度和功率的应用和力平台之间发现了高相关性 (r > 0.91).
- 在大多数装载条件中,观察到最小和不显著的差异.
- 应用和力量平台的可靠性都非常好 (克朗巴赫的α>0.93,CV <6%).
结论:
- 我的跳跃实验室应用程序是评估CMJ表现的有效和可靠工具.
- 该应用程序提供了准确的跳跃高度,力,速度和功率的测量.
- 这种由人工智能驱动的移动解决方案为神经肌肉评估提供了强力板的经济有效和便携式替代方案.
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