使用主要组件预测和重建来预测模型生成的骨关节接触力
Myles Ashall1, Mitchell G A Wheatley2, Chris Saliba3
1Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON,Canada.
Journal of applied biomechanics
|August 26, 2023
概括
预测膝关节的接触力是一个挑战. 使用运动捕捉动力学的新方法为分析步态和开发生物反应用提供了比复杂模型更快,更准确的替代方案.
科学领域:
- 生物力学 生物力学
- 运动学和动力学.
- 计算建模 计算建模
背景情况:
- 在动态运动过程中直接,非侵入性地测量骨骨关节接触力是不可能的.
- 现有的间接方法,包括简单和复杂的模型,在准确性,时间和成本上都有局限性.
研究的目的:
- 开发和验证新的,计算效率高的方法来预测骨骨关节接触力.
- 将这些新方法的准确性与现有模型进行比较.
主要方法:
- 应用主要组件分析预测和回归使用光学运动捕捉动力学 (外部方法) 和结合的骨骨关节和光学动力学 (内部方法).
- 在一组异质的无症状人群上进行了行走期间的测试.
- 与基于膝盖屈曲模型 (Brechter模型) 的预测进行了比较.
主要成果:
- 开发了特定对象的方程,准确地捕捉了步态特征.
- 与外部方法相比,内部方法显示出更高的性能.
- 开发的两种方法在关键统计指标 (IQR,LOA,R2) 中都超过了布雷赫特模型.
结论:
- 开发的预测方程在计算上比传统的肌肉骨模型要求更低.
- 这些新的方法显示出快速步行分析和生物反应用的前景.
- 内部方法提供了更高的准确性来预测骨骨关节接触力.
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