训练姿势平衡控制与骨盆力场在稳定性边界的训练
Isirame Omofuma1, Victor Santamaria2, Xupeng Ai1
1Rehabilitation and Robotics (ROAR) Laboratory, Department of Mechanical Engineering, Columbia University, 500 West 120th Street, Rm 220, New York, NY 10025, USA.
Bioengineering (Basel, Switzerland)
|December 23, 2023
概括
这项研究表明,在虚拟现实中进行机器人平衡训练可以改善姿势控制. 在培训期间的协助导致了不同的平衡策略,对患者康复有潜在的好处.
科学领域:
- 生物力学 生物力学
- 神经康复疗法 神经康复疗法
- 人与计算机的交互
背景情况:
- 姿势控制对于日常活动至关重要.
- 虚拟现实 (VR) 为康复提供了沉浸式环境.
- 基于扰乱的平衡训练 (PBT) 挑战了平衡机制.
研究的目的:
- 在VR环境中使用机器人直立站式训练器 (RobUST) 调查PBT的影响.
- 为了比较辅助和无辅助PBT之间的平衡和肌肉控制策略.
- 评估基于VR的PBT对姿势稳定性和反应平衡的影响.
主要方法:
- 10名健康参与者在VR任务中使用RobUST进行了PBT.
- 参与者执行了一个球捕捉,准和投任务,其中有干扰.
- 一个子组在训练期间在骨盆获得了额外的辅助力.
主要成果:
- 两组都显示出最大扰动力和姿势稳定区域的改善.
- 训练后肌肉活动下降.
- 辅助训练促进了更大的骨盆外行和更低的稳定性,而无辅助训练则有利于使用部策略.
结论:
- 基于VR的PBT有效地提高了姿势控制和稳定性.
- 在训练期间的骨盆辅助鼓励一个反应平衡策略,具有更大的骨盆运动性.
- 这个平台可以通过促进更广泛的运动来恢复平衡,从而使患者群体受益.
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