关于基于k-近邻交叉可预测性的状态空间对应策略在评估随机系统中方向性的有效性:应用到心肺呼吸器合估计的应用
Alberto Porta1,2, Raphael Martins de Abreu3,4, Vlasta Bari1,2
1Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.
Chaos (Woodbury, N.Y.)
|May 8, 2024
概括
状态空间对应 (SSC) 策略有效地确定心肺呼吸相互作用的方向. 这种方法可以准确地确定心脏周期变化和呼吸之间的因果关系,即使使用复杂的数据.
科学领域:
- 身体生理学 身体生理学
- 非线性动力学是一种非线性动力学.
- 生物医学工程 生物医学工程
背景情况:
- 心肺呼吸系统的相互作用是复杂的,双向的.
- 在生理系统中评估因果关系需要强大的分析方法.
- 以前的方法很难准确地确定合生理过程中的方向性.
研究的目的:
- 通过使用k-近邻交叉可预测性 (KNNCP) 验证状态空间对应 (SSC) 战略.
- 评估心脏周期 (HP) 变化和呼吸 (R) 之间的闭环心肺呼吸相互作用.
- 评估SSC策略在模拟非线性双变体自回归 (NBAR) 过程和人类生理学数据中的表现.
主要方法:
- 模拟的随机非线性双变自回归 (NBAR) 过程.
- K-近邻交叉可预测性 (KNNCP) 用于评估定向合.
- 在受控呼吸 (CR) 和活动站立 (STAND) 期间将SSC策略应用于人类数据.
主要成果:
- 该SSC策略正确地确定因果关系,更好的KNNCP从驾驶员的过去到目标的未来.
- 呼吸速度减慢在两个方向上增强了HP和R之间的因果关系.
- 活动站立显著调节了从HP到R的合强度.
- 从HP到R的因果关系始终比从R到HP更强.
- 无论数据的复杂性如何,都发现了显著的因果关系.
结论:
- 状态空间对应 (SSC) 策略是评估心肺呼吸相互作用方向性的有效和强大的工具.
- SSC可以解开心率变化和呼吸之间的复杂的闭环相互作用.
- 这些发现提供了不同生理条件下的心肺呼吸控制机制的见解.
相关概念视频
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