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基于跑步机的系统用于姿势研究:设计和验证.

Jennifer H Barnes1, Amir Eftekhar2, Timothy T Fake2

  • 1National Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA; Department of Kinesiology and Applied Physiology, University of Delaware, Newark DE USA.

Medical engineering & physics
|December 13, 2023
PubMed
概括
此摘要是机器生成的。

这项研究开发了一种定制的系统,使用分带跑步机来为步态研究提供精确的姿势障碍. 该系统准确地传递了干扰,使参与者能够有效地训练改善姿势反应.

关键词:
计算机控制的跑步机跑步机.预防跌倒 预防跌倒基于干扰的培训是基于干扰的.姿势控制 姿势控制康复 康复 康复 康复

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科学领域:

  • 生物力学 生物力学
  • 人类运动科学科学 人类运动科学
  • 神经科学是一个神经科学.

背景情况:

  • 计算机控制的跑步机对于步态研究是有价值的,但手动控制短暂的姿势障碍是具有挑战性的.
  • 现有的跑步机软件可能无法精确控制短暂扰动的时间和大小.
  • 准确和可重复的姿势干扰对于基于干扰的研究至关重要.

研究的目的:

  • 介绍一种新的系统,将分带跑步机与定制硬件和软件相结合,用于提供受控的姿势干扰.
  • 在这些扰动过程中同时记录动力学,电动图学和力数据.
  • 为了评估跑步机产生的干扰的准确性和可重复性.

主要方法:

  • 一个Bertec®分带跑步机与定制硬件和软件集成.
  • 15名健康的参与者接受了基于扰乱的8次训练方案.
  • 移动捕捉分析了对软件命令的扰动特征 (持续时间,位移,峰值速度).
  • 收集了动力学,电肌图学和力数据.

主要成果:

  • 根据软件命令,干扰持续时间符合预期.
  • 峰值速度和位移略高于预期 (分别增加0.59厘米/秒和1.76厘米).
  • 这些持续增加并没有妨碍培训或数据分析.
  • 跑步机行为在试验中显示出95%的可重复性.

结论:

  • 定制系统有效地为步态和姿态研究提供可重复的姿态障碍.
  • 该系统允许在受控扰动期间同时采集多模式数据.
  • 这项技术促进了基于扰动的培训和人类运动科学研究.