关节阻抗能否通过显式和隐式解决器改善动态腿模拟?
Serhii Bahdasariants1, Ana Maria Forti Barela2, Valeriya Gritsenko1,3
1Department of Human Performance, School of Medicine, West Virginia University, Morgantown, WV, United States of America.
PloS one
|July 3, 2023
概括
优化生物机械模拟可以改善受伤后运动障碍的实时诊断. 了解粘性弹性,整合方法和采样率可以提高神经肌肉疾病恢复和假肢的准确性.
科学领域:
- 生物力学 生物力学
- 计算建模计算建模
- 神经康复疗法 神经康复疗法
背景情况:
- 像中风这样的神经肌肉损伤会破坏复杂的身体运动,影响运动和动力学.
- 准确的生物机械模型对于实时诊断移动问题至关重要.
- 当前的动态计算需要优化速度和主题特异性.
研究的目的:
- 研究内在粘性弹性,数值整合方法和采样频率对生物机械模拟准确性和稳定性的影响.
- 为了确定实时,特定主题的动态模拟的最佳参数.
主要方法:
- 使用了带有粘弹性元素的17度自由度 (DOF) 双脚模型.
- 动态模拟结合了摇摆阶段实验动力学.
- 数值错误的评估基于不同的粘性弹性,采样率和集成器类型.
主要成果:
- 最佳参数选择实现了精确的关节动力学 (误差<1%) 和动力学 (误差<5%),具有更大的模拟时间步骤.
- 联合粘弹性减少了显式方法的整合误差,但对于隐式方法提供了最小的好处.
- 获得了关于粘性弹性,采样率和整合器选择之间的相互作用的见解.
结论:
- 优化的生物机械模拟可以准确地重建人类运动动态.
- 这些发现可以增强移动障碍的诊断工具.
- 改进的模拟支持神经肌肉疾病的功能恢复和先进的假肢控制.
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