IEEE Trans Biomed Eng. 2018 Dec;65(12):2847-2854. doi: 10.1109/TBME.2018.2819719. Epub 2018 Mar 26.
Cardiorespiratory interactions have been widely investigated in different physiological states and conditions. Various types of coupling characteristics have been observed in the cardiorespiratory system; however, it is difficult to identify and quantify details of their interaction. In this study, we investigate directional coupling of the cardiorespiratory system in different physiological states (sleep stages) and conditions, i.e., severity of obstructive sleep apnea (OSA).
Directionality analysis is performed using the evolution map approach with heartbeats acquired from electrocardiogram and abdominal respiratory effort measured from the polysomnographic data of 39 healthy individuals and 24 mild, 21 moderate, and 23 severe patients with OSA. The mean phase coherence is used to confirm the weak and strong coupling of cardiorespiratory system.
We find that unidirectional coupling from the respiratory to the cardiac system increases during wakefulness (average value of -0.61) and rapid eye movement sleep (-0.55). Furthermore, unidirectional coupling between the two systems significantly decreases during light (-0.52) and deep sleep, which is further decreased in deep sleep (-0.46), approaching bidirectional coupling. In addition, unidirectional coupling from the respiratory to the cardiac system also significantly increases according to the severity of OSA.
These coupling characteristics in different states and conditions are believed to be linked with autonomic nervous modulation.
Our approach could provide an opportunity to understand how integrated systems cooperate for physiological functions under internal and external environmental changes, and how abnormality in one physiological system could develop to increase the risk of other systemic dysfunctions and/or disorders.
心肺交互作用已在不同的生理状态和条件下得到广泛研究。在心肺系统中观察到了各种类型的耦合特征;然而,识别和量化其相互作用的细节是困难的。在这项研究中,我们研究了不同生理状态(睡眠阶段)和条件下心肺系统的方向耦合,即阻塞性睡眠呼吸暂停(OSA)的严重程度。
使用演化图方法进行方向分析,从 39 名健康个体和 24 名轻度、21 名中度和 23 名重度 OSA 患者的多导睡眠图数据中获取心搏和腹部呼吸努力。使用平均相位相干性来确认心肺系统的弱耦合和强耦合。
我们发现,从呼吸到心脏系统的单向耦合在觉醒(平均值为-0.61)和快速眼动睡眠(-0.55)期间增加。此外,在浅睡(-0.52)和深睡期间,两个系统之间的单向耦合显著降低,在深睡期间进一步降低(-0.46),接近双向耦合。此外,呼吸到心脏系统的单向耦合也根据 OSA 的严重程度显著增加。
这些在不同状态和条件下的耦合特征被认为与自主神经调节有关。
我们的方法为了解在内部和外部环境变化下,集成系统如何为生理功能合作,以及一个生理系统的异常如何发展为增加其他系统功能障碍和/或疾病的风险提供了机会。