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Symbolic Dynamic Analysis of Relations Between Cardiac and Breathing Cycles in Patients on Weaning Trials

机译:断奶试验中患者心脏与呼吸周期之间关系的符号动态分析

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摘要

Traditional time-domain techniques of data analysis are often not sufficient to characterize the complex dynamics of the cardiorespiratory interdependencies during the weaning trials. In this paper, the interactions between the heart rate (HR) and the breathing rate (BR) were studied using joint symbolic dynamic analysis. A total of 133 patients on weaning trials from mechanical ventilation were analyzed: 94 patients with successful weaning (group S) and 39 patients that failed to maintain spontaneous breathing (group F). The word distribution matrix enabled a coarse-grained quantitative assessment of short-term nonlinear analysis of the cardiorespiratory interactions. The histogram of the occurrence probability of the cardiorespiratory words presented a higher homogeneity in group F than in group S, measured with a higher number of forbidden words in group S as well as a higher number of words whose probability of occurrence is higher than a probability threshold in group S. The discriminant analysis revealed the best results when applying symbolic dynamic variables. Therefore, we hypothesize that joint symbolic dynamic analysis provides enhanced information about different interactions between HR and BR, when comparing patients with successful weaning and patients that failed to maintain spontaneous breathing in the weaning procedure.
机译:传统的时域数据分析技术通常不足以表征断奶试验期间心肺相互依存关系的复杂动态。在本文中,使用联合符号动态分析研究了心率(HR)和呼吸速率(BR)之间的相互作用。对总共133例通过机械通气进行断奶试验的患者进行了分析:94例成功断奶的患者(S组)和39例未能保持自主呼吸的患者(F组)。单词分布矩阵可以对心肺相互作用的短期非线性分析进行粗粒度的定量评估。 F组的心肺呼吸词发生概率直方图显示S组比S组具有更高的同质性,S组中的禁忌词数量更高,发生概率高于概率的单词数量也更高S组阈值。判别分析显示了应用符号动态变量时的最佳结果。因此,我们假设在比较断奶成功的患者和断奶过程中未能保持自发呼吸的患者时,联合符号动态分析可提供有关HR和BR之间不同相互作用的增强信息。

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