论文标题
儿科患者心肺信号的因果关系
Causality in cardiorespiratory signals in pediatric cardiac patients
论文作者
论文摘要
四种不同的基于Granger因果关系的方法 - 一种线性和三种非线性（Granger因果关系，内核Granger因果关系，大规模非线性Granger因果关系和神经网络Granger因果关系）用于评估和基于因果关系的基于呼吸鼻窦的eCRECTIAC ARRYTHMIA（RSA）的基于因果关系的定量。验尸信号（后者作为潮汐体积曲线等效）。每种方法都能够检测呼吸道和心脏信号之间的依赖性（根据因果推断）。还研究了量化的RSA与人口统计参数之间的相关性，但每种方法的结果都不同。
Four different Granger causality-based methods - one linear and three nonlinear (Granger Causality, Kernel Granger Causality, large-scale Nonlinear Granger Causality, and Neural Network Granger Causality) were used for assessment and causal-based quantification of the respiratory sinus arrythmia (RSA) in the group of pediatric cardiac patients, based on the single-lead ECG and impedance pneumography signals (the latter as the tidal volume curve equivalent). Each method was able to detect the dependency (in terms of causal inference) between respiratory and cardiac signals. The correlations between quantified RSA and the demographic parameters were also studied, but the results differ for each method.
