在操控手柄操纵中肌肉协同作用
Liming Cai1,2, Shuhao Yan2,3, Chuanyun Ouyang2,3
1Academy for Engineering and Technology, Fudan University, Shanghai, China.
Frontiers in physiology
|October 30, 2023
概括
专家的操纵杆操纵依赖于精致的上肢肌肉协同作用. 先进的机动经验与更好的性能和更稳定的肌肉激活模式相关,但不会改变基本的协同作用结构.
科学领域:
- 生物力学和运动控制
- 人与计算机的交互
- 神经科学是一个神经科学.
背景情况:
- 从表面电肌图信号 (sEMG) 中提取的肌肉协同作用,对于理解各种任务期间的运动控制策略至关重要.
- 操纵杆操纵性能是从运输到体育领域的关键指标,但根本的神经肌肉控制尚未完全理解.
研究的目的:
- 为了研究上肢肌肉协同作用和在不同级别的机动经验中执行乔伊斯蒂克操纵任务之间的关系.
- 分析肌肉协同特征,如协同模式空间和活动中心 (CoA) 变异性,与操纵性能指标的相关性.
主要方法:
- 77名具有不同机动经验的受试者执行了操纵杆任务,通过误差,标准偏差和范围来衡量性能.
- 在任务期间,从上肢收集了表面电肌图 (sEMG) 和加速数据.
- 非负矩阵因子化 (NMF) 提取了肌肉协同作用,协同协调指数 (SCI) 评估了时间激活的可变性.
主要成果:
- 在操纵手柄操作性能和机动经验之间发现了积极的相关性.
- 肌肉协同模式在经验组中是相似的,表明特定任务的稳定性.
- 在具有丰富经验的受试者中观察到操纵性能和肌肉协同度量之间存在更强的相关性.
结论:
- 长期训练可以提高操纵性能,协同稳定性和时间激活可变性,而不会改变任务的基本肌肉协同结构.
- 这些发现可以为减少操纵错误,改进培训和设计体育和运输辅助技术的方法提供信息.
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