一个平面神经肌肉控制器来模拟坐走运动中的补偿策略
Eline van der Kruk1, Thomas Geijtenbeek1,2
1Department of Biomechanical Engineering, Faculty of Mechanical Engineering (3me), Delft University of Technology, Delft, the Netherlands.
PloS one
|June 13, 2024
概括
这项研究开发了一个神经肌肉骨模型来模拟坐着走路的运动. 该模型准确地复制了人类运动适应,为与年龄相关的变化和跌倒预防策略提供了洞察力.
科学领域:
- 生物力学 生物力学
- 神经肌肉控制控制神经肌肉控制
- 计算建模 计算建模
背景情况:
- 坐着走路对于日常生活至关重要,随着年龄的增长而下降,并与跌倒有关.
- 了解神经肌肉控制中与年龄相关的变化对于预防跌倒至关重要.
研究的目的:
- 开发和验证一个神经肌肉骨模型来模拟坐着走路.
- 在不同的条件下 (座位高度,脚位) 调查坐到走的情况.
主要方法:
- 创建了一个平面的,11度的自由度,20个肌肉的肌肉骨模型.
- 实现了基于反射的肌肉控制和感官反的双相控制器.
- 使用基于射击的优化方法优化控制参数.
主要成果:
- 模拟的动力学和肌肉激活与实验数据密切匹配.
- 模型展示了可比的适应策略,以观察到不同座位高度的成年人行为.
- 该框架在不同的条件下成功模拟了坐着走路.
结论:
- 经过验证的神经肌肉骨模型为研究坐着走路提供了一个强大的工具.
- 能够研究与年龄相关的补偿策略和跌倒风险因素.
- 公开可用的模型有助于进一步调查人类运动.
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