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Quantification of cardio-respiratory interactions in patients with mild obstructive sleep apnea syndrome using joint symbolic dynamics

机译:使用联合符号动力学量化轻度阻塞性睡眠呼吸暂停综合征患者的心肺相互作用

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The aim of this paper was to study interactions between R-R intervals and respiratory phases in patients with mild obstructive sleep apnea syndrome (OSAS) during night-time sleep using a technique based on joint symbolic dynamics. We investigated overnight polysomnography data in 123 OSAS patients. The R-R time series were extracted from electrocardiograms (ECG) and respiratory phases were obtained from abdominal displacement sensors using the Hilbert transform. Both series were transformed into ternary symbol vectors based on the changes between two successive R-R intervals and the respective respiratory phases. Subsequently, words of length ‘3’ were formed and the correspondence between words of the two series was determined for each sleep stage to quantify cardio-respiratory interaction. We found a significantly higher percentage of similarity in the symbolic dynamics of R-R intervals and respiratory phases during slow-wave (SW) sleep compared to any other sleep stage (slow-wave vs. stage 1, stage 2 and rapid-eye-movement sleep: 20.9±4.7 vs. 15.5±4.2, 17.0±4.1 and 13.4±2.6, p<0.0001, respectively). In conclusion, joint symbolic dynamics provides an efficient technique for the analysis of cardio-respiratory interaction during sleep.
机译:本文的目的是研究基于联合象征动力学的技术,研究夜间睡眠期间轻度阻塞性睡眠呼吸暂停综合症(OSAS)患者的R-R间隔与呼吸阶段之间的相互作用。我们调查了123例OSAS患者的通宵多导睡眠图数据。从心电图(ECG)中提取R-R时间序列,并使用希尔伯特变换从腹部位移传感器获得呼吸相位。基于两个连续的R-R间隔和相应的呼吸相位之间的变化,将两个序列转换为三元符号向量。随后,形成长度为“ 3”的单词,并针对每个睡眠阶段确定两个系列的单词之间的对应关系,以量化心脏-呼吸系统的相互作用。我们发现慢波(SW)睡眠期间RR间隔和呼吸阶段的符号动力学的相似性百分比显着高于其他任何睡眠阶段(慢波与阶段1,阶段2和快速眼动睡眠) :20.9±4.7对15.5±4.2、17.0±4.1和13.4±2.6,p <0.0001)。总之,联合符号动力学提供了一种有效的技术,可用于分析睡眠中的心肺相互作用。

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