关节旋转和触动之间的相位转移反映了主导力量,并预测了肌肉激活模式
G P Sutton1, N S Szczecinski2, R D Quinn3
1School of Life Sciences, University of Lincoln, Lincoln LN6 7TS, UK.
PNAS nexus
|October 12, 2023
概括
一个新的无维数,相位移 (φ),量化了惯性,弹性力,重力和粘度如何抵抗运动. 这个数字预测了不同物种和速度的动物运动和电肌图 (EMG) 模式.
科学领域:
- 生物力学 生物力学
- 机动分析机动分析
- 比较生理学比较生理学
背景情况:
- 在行为过程中的执行工作受到惯性,弹性力,重力和粘度的阻力.
- 现有的无维数 (例如,弗罗德,雷诺兹) 使用两个力的比率,限制了跨不同动物大小和速度的广泛比较.
- 需要一个全面的无维数来比较肢体长度和周期周期的数量级的行为.
研究的目的:
- 提出一个新的无维数,集成引力,惯性,弹性和粘性力.
- 为了表达这个无维数,相位移 (φ),作为肢体长度和循环周期的函数,用于陆地行走,使用全米缩放.
- 利用 φ 的尺度依赖值来解释和预测行走动物的电肌图 (EMG) 图案.
主要方法:
- 开发了一个新的无维数,相位移 (φ),表示肢体位移和执行力之间的关系.
- 应用全米缩放规律,将φ与陆地机车运动中的四肢长度和循环周期联系起来.
- 在各种动物模型中,尺度依赖的φ值与观察到的电肌图学 (EMG) 活动的相关性.
主要成果:
- 阶段转移 (φ) 成功地将引力,惯性,弹性和粘性力与单个无维参数联系起来.
- 全尺度缩放为陆地行走提供了φ,四肢长度和循环周期之间的预测关系.
- 尺度依赖的φ值与不同动物步态观察到的电肌图 (EMG) 图案相关并预测.
结论:
- 阶段转移 (φ) 提供了一个统一的框架来分析和比较动物在不同尺度上的运动.
- 这种无维数可以帮助我们更好地理解主导力量如何影响运动控制和神经激活模式.
- 这些发现为预测运动研究中的生物机械和生理反应提供了强大的工具.
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