关闭链式肩形模型的个性化实现了多次运动的高动力精度
Claire V Hammond1, Heath B Henninger2, Benjamin J Fregly1
1Department of Mechanical Engineering, Rice University, Houston, TX, United States.
Frontiers in bioengineering and biotechnology
|August 27, 2025
概括
这项研究引入了一个新的个性化肩膀模型,用于准确的生物机械模拟. 这种先进的框架提高了肩部运动分析的准确性和解剖学准确性,改善了现有的方法.
科学领域:
- 生物力学
- 肌肉骨模型
- 整形医学
背景情况:
- 肩部复杂问题如旋转关节疼痛影响许多成年人,导致治疗结果不佳.
- 目前的肌肉骨模型在预测关节/肌肉负荷和模拟运动方面缺乏个性化和准确性.
- 需要改进肩部生物机械模型.
研究的目的:
- 开发一个新的,个性化的肩部复合模型框架.
- 校准对象特定的关节中心和功能轴.
- 为了提高肩部运动模拟的精度和解剖学准确性.
主要方法:
- 使用联合模型个性化 (JMP) 工具开发了个性化建模框架.
- 结合了在体内双平面光学数据,用于关节和胸关节.
- 创建和优化具有不同自由度 (DOF) 的开链和闭链肩形模型.
主要成果:
- 在开放链模型中增加肩膀的DOF提高了运动精度 (DOF5模型:平均值). 0.8毫米的错误).
- 封闭链模型显示高精度 (平均值). 在不同受试者之间存在差异和一致性.
- 使用合成标记数据的个性化模型具有可接受的误差水平 (平均值). 3.4毫米) 的情况.
结论:
- 个性化,封闭链式肩膀模型显著提高了模拟准确性和解剖学准确性.
- 这种框架最大限度地减少了关节运动误差.
- 它为未来的模型提供了基础, 以个性化肌肉和先进的模拟.
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