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神经肌肉控制:从生物机械学家的角度来看
Daanish M Mulla1, Peter J Keir1
1Department of Kinesiology, Occupational Biomechanics Laboratory, McMaster University, Hamilton, ON, Canada.
Frontiers in sports and active living
|July 21, 2023
概括
了解自愿肌肉控制需要整合生物力学,神经科学和运动控制. 本综述整合了这些领域,揭示了以最佳性和神经机械约束等原则为指导的结构化肌肉活动模式.
科学领域:
- 综合神经科学是一个整体的神经科学.
- 生物力学 生物力学
- 发动机控制器 发动机控制器
背景情况:
- 运动的神经控制是一个复杂的,跨学科的领域.
- 了解人类运动需要整合生物力学,神经科学和运动控制.
- 现有的文献是巨大的,使得领域之间的联系具有挑战性.
研究的目的:
- 整合来自生物力学,神经科学和运动控制的观点.
- 阐明在自愿肌肉控制的基础上的神经机制.
- 为神经肌肉控制科学界提供基础知识.
主要方法:
- 使用生物力学建模框架来定义运动任务的理论肌肉活动模式.
- 将理论解决方案与关于肌肉活动的实验发现进行比较.
- 审查流行的神经肌肉控制理论,如最佳性,概率原理和神经机械约束.
主要成果:
- 个体表现出结构化的肌肉活动模式,不覆盖整个理论解决方案空间.
- 神经肌肉控制似乎是以限制可能的肌肉活动解决方案的原则为指导.
- 理论解决方案通过实验数据和控制理论来改进.
结论:
- 整合生物力学,神经科学和运动控制,可以更全面地了解自愿运动.
- 神经肌肉控制策略很可能是由最佳性和物理约束决定的.
- 未来的研究应该加强神经控制在生物力学模型中的表现.
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