在时间和频率领域评估格兰杰因果关系,隔离和自主性的方法:理论和应用到脑血管变量
IEEE transactions on bio-medical engineering
|December 6, 2023
概括
新的光谱格兰杰因果关系 (GC) 和格兰杰自主性 (GA) 测量量生理过程动态. 这些方法揭示了昏迷患者脑血管反应的改变,为结合过程分析提供了新的见解.
科学领域:
- 生理学 生理学 生理学
- 生物医学工程 生物医学工程
- 复杂系统分析 复杂系统分析
背景情况:
- 格兰杰因果关系 (GC) 和格兰杰自主性 (GA) 是分析合生理系统的关键.
- 现有的自主依赖方法缺乏光谱表示,仅限于时间域分析.
研究的目的:
- 引入格兰杰隔离 (GI) 和格兰杰自主 (GA) 的新型光谱测量.
- 在生理过程中量化频率特定的自主依赖性和非X驱动动力学.
- 将这些测量方法应用于昏迷患者和对照患者的动脉压和脑血流数据.
主要方法:
- 在线参数框架内开发了光谱GI和GA用于GC计算.
- 通过理论模拟验证的措施.
- 将光谱GC,GI和GA应用于昏迷患者和健康个体在姿势压力期间的时间序列数据.
主要成果:
- 模拟表明GI是GC的补充,GA反映了内部过程的规律性.
- 光谱GA捕捉了大脑血流振荡中的生理反应.
- 谱GC和GI在正静状态期间在昏迷患者中发现了改变的大脑血管反应,这表明大脑自我调节受损.
结论:
- 新的光谱GI和GA测量补充了GC用于分析相互作用的振荡过程.
- 这些光谱方法检测出对姿势应激的病理生理反应,这些反应在时间域分析中并不明显.
- 对因果关系,隔离和自主性的全面评估增强了在生理学和临床研究中合过程的分析.
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