开源,开放科学:开发OpenLESS作为自动化着陆错误评分系统
medRxiv : the preprint server for health sciences
|December 9, 2024
概括
开放着陆错误评分系统 (OpenLESS) 使用无标记运动捕捉自动化跳跃着陆分析. 这种新的工具证明了在临床环境中评估下肢运动质量的良好有效性和卓越可靠性.
科学领域:
- 生物力学 生物力学
- 运动科学 运动科学
- 临床评估 临床评估
背景情况:
- 在跳跃着陆期间评估下肢运动质量对于伤害预防和康复至关重要.
- 目前的方法,如着陆错误评分系统 (LESS) 是耗时的,需要手动评分.
- 需要自动化,高效的工具来分析临床环境中的功能运动.
研究的目的:
- 开发和验证开放着陆错误评分系统 (OpenLESS),这是一个开源,无标记的运动捕捉工具.
- 评估OpenLESS与专家LESS分数在健康人群和前十字带重建后 (ACLR) 人群中的有效性.
- 为了评估OpenLESS在运动员队列中的跨会话可靠性.
主要方法:
- 开发了OpenLESS软件,自动通过3D动力学来评分跳跃着陆运动质量.
- 收集了来自92名参与者的健康,ACLR后和业余运动员队伍的数据.
- 使用类内相关系数 (ICC) 对专家LESS分数和四个时间点的可靠性进行评估.
主要成果:
- 在健康 (ICC=0.79) 和ACLR后 (ICC=0.88) 队列中,OpenLESS与专家LESS得分达成良好一致.
- 与手动评分相比,自动评分显著减少了分析时间 (少于15分钟而不是18.5小时).
- 观察到极好的交会可靠性 (ICC>0.89),SEM的错误率为0.98,MDC的错误率为2.72.
结论:
- OpenLESS是一种有前途,高效和自动化的工具,用于评估跳跃着陆的质量.
- 该系统对专家评级者具有良好的有效性,在现场设置中具有卓越的可靠性.
- OpenLESS解决了临床实践和研究中客观和及时运动分析的需求.
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