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AST:一个基于OpenSim的工具,用于对通用肌肉骨模型进行自动缩放

Andrea Di Pietro¹, Alex Bersani², Cristina Curreli³

¹Department of Civil and Industrial Engineering, University of Pisa, Italy.

Computers in biology and medicine

|April 30, 2024

概括

自动缩放工具 (AST) 在OpenSim中自动化肌肉骨 (MSK) 模型缩放,与手动方法相比,显著提高了准确性和速度. 这个工具加速了生物力学研究的MSK模拟.

科学领域:

生物力学生物力学
计算机建模计算建模
人类运动分析人类运动分析

背景情况:

肌肉骨 (MSK) 模拟对于理解人类运动至关重要.
在OpenSim中扩展通用MSK模型是一个关键的,但耗时的初步步骤.
精确的缩放将虚拟标记与实验数据对齐,以便进行可靠的分析.

研究的目的:

引入自动缩放工具 (AST) 以实现高效准确的MSK模型缩放.
为了自动化标记器调整和错误评估的代过程.
加速创建可靠的MSK模型用于生物力学研究.

主要方法:

在静态试验中,AST通过缩放和反向动力学来代地改进虚拟标记位置.
它评估了根平均平方误差 (RMSE) 和最大标记误差用于纠正行动.
该工具采用基于RMSE和细分扩展因子的自适应扩展策略.

主要成果:

在三种通用MSK模型中,AST显著优于专家运营商的手动缩放.
静态试验RMSE减少了一个数量级;步行任务RMSE是五倍低.
该工具在100次代内实现了所需的准确性,快速提供可靠的模型.

结论:

通过自动化MSK模型缩放,AST为生物机械界提供了实质性的进步.
该工具可以更快,更准确地准备MSK分析的通用模型.
为了更广泛的应用,建议使用各种数据集和模型进行进一步的验证.

关键词:

自动化自动化自动化自动化自动化标记符的位置标记符的位置马特拉布 (Matlab) 是一个实验室.肌肉骨模型的模型开放Sim是开放的缩放工具是一个缩放工具.

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