通过感官整合前体和视觉运动线索来稳定部
Riender Happee1, Varun Kotian1, Ksander N De Winkel1
1Cognitive Robotics, Mechanical Engineering, Delft University of Technology, Delft, Netherlands.
Frontiers in neurology
|December 11, 2023
概括
人类头稳定依赖于感官集成 (SI). 这项研究模拟了前体和视觉线索以及肌肉反如何维持姿势,将感官冲突与运动恶心联系起来.
科学领域:
- 生物力学 生物力学
- 神经科学是一个神经科学.
- 人类因素工程 人类因素工程
背景情况:
- 人类的头系统需要持续的肌肉稳定,以抵御诸如重力和干运动等干扰.
- 了解感官线索的相互作用对于头稳定至关重要.
研究的目的:
- 研究前体,视觉和肌肉感官线索在头稳定中的作用.
- 探索感官整合 (SI) 冲突和姿势不稳定如何与运动恶心有关.
主要方法:
- 开发了一个3D多段部肌肉骨模型,其中包含258个Hill型肌肉元素.
- 纳入了感官集成模型,包括多感官观察者模型 (MSOM) 和主观垂直冲突模型 (SVC).
- 使用实证数据集分析了动态头部稳定,包括干干扰和引发运动恶心的斯拉洛姆驱动.
主要成果:
- 只有肌肉反才能稳定部,但在某些条件下会导致头部过度旋转.
- 结合前体和视觉反,可以显著改善各种频率的头稳定.
- 拥有全视力的MSOM和SVC模型准确地捕捉了头部运动,而斯拉洛姆驱动器中的感觉冲突导致姿势不稳定.
结论:
- 感官整合模型 (MSOM和SVC) 是研究姿势稳定的有效工具.
- 在运动恶心引起的条件中,不精确的感官整合会使头部运动变大.
- 这项研究独特地将感官冲突和姿势不稳定理论与运动恶心的引起联系起来.
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