智能手机视频驱动的肌肉骨多体动力学建模工作流程,以估计下肢关节接触力和地面反应力
Yinghu Peng1, Wei Wang1, Lin Wang1
1CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.
Medical & biological engineering & computing
|July 24, 2024
概括
这项研究引入了一种成本效益高的方法,使用智能手机视频进行肌肉骨建模,准确估计下肢力学和关节力. 这种方法为步态分析提供了比传统的运动捕捉系统更容易获得的替代方案.
科学领域:
- 生物力学 生物力学
- 肌肉骨系统的建模
- 步态分析 步态分析
背景情况:
- 在肌肉骨多体动力学模型中估计关节接触力通常依赖于昂贵的运动捕捉 (Mocap) 技术.
- 需要更容易获得和更具成本效益的方法来分析下肢力学.
研究的目的:
- 提出和验证智能手机视频驱动 (SPV) 肌肉骨多体动力学工作流程,以估计下肢力学.
- 将SPV方法的准确性与基于标记的Mocap工作流进行比较.
主要方法:
- 12名参与者进行了步行和跑步试验,通过双智能手机视频和强力板收集数据.
- 使用OpenCap平台处理智能手机视频以提取关节动力学.
- 肌肉骨多体动力学模型使用提取的标记来计算关节接触力和地面反应力,与Mocap数据进行评估.
主要成果:
- 在下肢关节角度发现了高皮尔森相关性 (ρ = 0.740.94),平均误差 (MAD/RMSE) 为1.936.56° / 2.147.08°.
- 对联合接触力和地面反应力观察到强烈的相关性 (ρ = 0.780.92),平均误差为0.181.07 BW / 0.281.32 BW.
结论:
- 智能手机视频驱动的肌肉骨多体动力学模拟工作流程为下肢力学和地面反应力预测提供了可靠的准确性.
- 这种可访问的方法具有显著的潜力,可以加速临床环境中的步态动态分析.
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