Department of Physics, Bar-Ilan University, 5290002 Ramat Gan, Israel.
Institute of Medical Epidemiology, Biometrics and Informatics (IMEBI), Interdisciplinary Center for Health Sciences, Martin-Luther-University Halle-Wittenberg, 06097 Halle (Saale), Germany.
Chaos. 2024 Apr 1;34(4). doi: 10.1063/5.0177552.
Interactions between the cardiac and respiratory systems play a pivotal role in physiological functioning. Nonetheless, the intricacies of cardio-respiratory couplings, such as cardio-respiratory phase synchronization (CRPS) and cardio-respiratory coordination (CRC), remain elusive, and an automated algorithm for CRC detection is lacking. This paper introduces an automated CRC detection algorithm, which allowed us to conduct a comprehensive comparison of CRPS and CRC during sleep for the first time using an extensive database. We found that CRPS is more sensitive to sleep-stage transitions, and intriguingly, there is a negative correlation between the degree of CRPS and CRC when fluctuations in breathing frequency are high. This comparative analysis holds promise in assisting researchers in gaining deeper insights into the mechanics of and distinctions between these two physiological phenomena. Additionally, the automated algorithms we devised have the potential to offer valuable insights into the clinical applications of CRC and CRPS.
心肺系统之间的相互作用在生理功能中起着关键作用。然而,心肺耦合的复杂性,如心-呼吸相位同步(CRPS)和心-呼吸协调(CRC),仍然难以捉摸,并且缺乏 CRC 检测的自动化算法。本文介绍了一种自动化 CRC 检测算法,该算法使我们能够首次使用广泛的数据库对睡眠期间的 CRPS 和 CRC 进行全面比较。我们发现,CRPS 对睡眠阶段转换更敏感,有趣的是,当呼吸频率波动较大时,CRPS 和 CRC 的程度之间存在负相关关系。这种对比分析有望帮助研究人员更深入地了解这两种生理现象的机制和区别。此外,我们设计的自动化算法有可能为 CRC 和 CRPS 的临床应用提供有价值的见解。