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额头平面无标记的动力学数据对单腿坐测试中运动质量的贡献:比较和决策树方法
Juhyun Park1, Yongwook Kim1, Sujin Kim1
1Department of Physical Therapy, College of Medical Science, Jeonju University, Jeonju, South Korea.
Journal of sport rehabilitation
|November 5, 2024
概括
智能手机的移动捕捉器准确地使用前膝和总结角度对单脚 (SLS) 等级进行分类. 该方法通过识别运动质量问题来帮助远程临床和体育评估.
科学领域:
- 生物力学 生物力学
- 运动学 运动学
- 计算机视觉 计算机视觉
背景情况:
- 单腿 (SLS) 测试是一种常见的临床评估,用于下肢功能.
- 对SLS运动质量的客观分级对于伤害预防和康复至关重要.
- 传统的运动捕捉方法通常是昂贵的,无法广泛使用.
研究的目的:
- 为了在不同质量级别的SLS中比较前额干部,骨盆和膝盖角度的动力学数据.
- 用智能手机使用无标记运动捕捉来对SLS等级进行分类.
- 为了研究前面平面角和SLS等级之间的关联.
主要方法:
- 91名参与者被分为好,低和差的SLS成绩.
- 使用单个智能手机摄像头的自动姿势估计算法捕获了额头关节的角度.
- 使用差异分析和决策树模型 (分类和回归树).
主要成果:
- 较差的SLS组与良好的组相比,表现出明显更大的额头干部,膝盖和总和角度.
- 额头膝盖和总结角度以76.9%的准确度对SLS等级进行了分类.
- 为临床使用,确定了前膝 (11.34°) 和总角 (28.4°) 的切线点.
结论:
- SLS运动质量与前面平面膝盖和总结角度有关.
- 基于智能手机的无标记运动捕捉为评估SLS质量提供了一种可行的方法.
- 这项技术使运动质量的远程临床和体育评估成为可能.
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