减少肌动力学参数化的复杂性 改善肌肉骨模拟中的融合速度
Mohanad Harba1, Joan Badia1, Gil Serrancolí1,2
1Simulation and Movement Analysis Lab, Department of Mechanical Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain.
International journal for numerical methods in biomedical engineering
|February 23, 2026
概括
这项研究提出了一种新的方法,通过简化肌模型来减少肌肉骨模拟中的计算需求. 该方法在不牺牲准确性的情况下提高了约15.6%的模拟速度,有利于临床应用.
科学领域:
- 生物力学 生物力学
- 计算建模计算建模
- 肌肉骨系统 肌肉骨系统
背景情况:
- 肌肉骨模拟对于康复,植入物设计和运动表现至关重要.
- 估计肌长度和动力臂是计算密集的,特别是在复杂的多关节系统中.
- 使用六度自由度 (DoF) 建模肌肉增加了复杂性,并可以减缓模拟.
研究的目的:
- 引入一种计算效率高的方法来参数化肌长度和动力臂.
- 为了减少肌肉骨模型所需的多项式系数的数量.
- 为了保持准确性,同时提高全身动态模拟的速度.
主要方法:
- 开发了一种策略,以显著降低肌特性的多项式系数.
- 通过使用老年人用膝关节假肢的四次步行运动的数据验证了该方法.
- 应用了两种不同的误差值,并分析了膝盖和脚的肌肉的结果.
主要成果:
- 降低了大约50%的膝盖和脚跨度肌肉所需的多项式系数.
- 全身动力学模拟的计算时间减少了15.6%.
- 在关节角度和膝盖接触力跟踪中实现了高精度,与完全多项式解决方案的最小差异.
结论:
- 拟议的方法为肌肉驱动的模拟提供了一个计算效率高,准确的方法.
- 这种简化对于物理治疗,机器人手术和运动训练的临床应用是实用的.
- 这一进步提高了复杂的肌肉骨建模的速度,而不会影响精度.
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