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使用递归特性估计心肺系统中的耦合方向。

Estimating coupling directions in the cardiorespiratory system using recurrence properties.

机构信息

Potsdam Institute for Climate Impact Research, 14412 Potsdam, Germany.

出版信息

Philos Trans A Math Phys Eng Sci. 2013 Jul 15;371(1997):20110624. doi: 10.1098/rsta.2011.0624. Print 2013 Aug 28.

DOI:10.1098/rsta.2011.0624
PMID:23858487
Abstract

The asymmetry of coupling between complex systems can be studied by conditional probabilities of recurrence, which can be estimated by joint recurrence plots. This approach is applied for the first time on experimental data: time series of the human cardiorespiratory system in order to investigate the couplings between heart rate, mean arterial blood pressure and respiration. We find that the respiratory system couples towards the heart rate, and the heart rate towards the mean arterial blood pressure. However, our analysis could not detect a clear coupling direction between the mean arterial blood pressure and respiration.

摘要

通过条件概率的重发,可以研究复杂系统之间的耦合非对称性,而重发图可以用来估计条件概率的重发。这种方法首次应用于实验数据:人体心肺系统的时间序列,以研究心率、平均动脉血压和呼吸之间的耦合。我们发现呼吸系统向心率耦合,心率向平均动脉血压耦合。然而,我们的分析无法检测到平均动脉血压和呼吸之间的明确耦合方向。

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