Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
Adv Exp Med Biol. 2022;1384:159-183. doi: 10.1007/978-3-031-06413-5_10.
Here we discuss the current perspectives of comprehensive heart rate variability (HRV) analysis in electrocardiogram (ECG) signals as a non-invasive and reliable measure to assess autonomic function in sleep-related breathing disorders (SDB). It is a tool of increasing interest as different facets of HRV can be implemented to screen and diagnose SDB, monitor treatment efficacy, and prognose adverse cardiovascular outcomes in patients with sleep apnea. In this context, the technical aspects, pathophysiological features, and clinical applications of HRV are discussed to explore its usefulness in better understanding SDB.
在这里，我们讨论了当前在心电图（ECG）信号中进行全面心率变异性（HRV）分析的观点，作为一种评估与睡眠相关的呼吸障碍（SDB）的自主神经功能的非侵入性和可靠方法。它是一种越来越受关注的工具，因为 HRV 的不同方面可以用于筛查和诊断 SDB、监测治疗效果，并预测患有睡眠呼吸暂停的患者的心血管不良预后。在这种情况下，讨论了 HRV 的技术方面、病理生理特征和临床应用，以探索其在更好地理解 SDB 方面的有用性。
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