講師資料
Talks：
ECG and heart rate use in the diagnosis of sleep and sleep disorders
Name：
Prof. Thomas Penzel
Position：
Scientific Chair of Sleep Medicine Center at Charite University Hospital, Berlin, Germany.
President of German Sleep Society.
Affiliation：
Interdisciplinary Sleep Medicine Center, Charite University Hospital Berlin, Germany
Email：
Photo：
Research Interests：
Sleep apnea pathophysiology, cardiovascular consequences of Sleep apnea, Biosignal processing in sleep
Selected Publications：
1. Penzel T, Kantelhardt JW, Grote L, Peter JH, Bunde A. Comparison of Detrended Fluctuation Analysis and Spectral Analysis for Heart Rate Variability in Sleep and Sleep Apnea. IEEE Trans. Biomed. Eng. 50: 1143-1151 (2003)
2. Magalang UJ, Chen NH, Cistulli PA, Fedson AC, Gíslason T, Hillman D, Penzel T, Tamisier R, Tufik S, Phillips G, Pack AI; SAGIC Investigators. Agreement in the scoring of respiratory events and sleep among international sleep centers. Sleep 2013; 36: 591-596
3. Benjafield AV, Ayas NT, Eastwood PR, Heinzer R, Ip MSM, Morrell MJ, Nunez CM, Patel SR, Penzel T, Pepin JLD, Peppard PE, Sinha S, Tufik S, Valentine K, Malhotra A. Estimating the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med 2019; 7: 687-698 doi: 10.1016/S2213-2600(19)30198-5
4. Qin H, Keenan BT, Mazzotti DR, Vaquerizo-Villar F, Kraemer JF, Wessel N, Tufik S, Bittencourt L, Cistulli PA, de Chazal P, Sutherland K, Singh B, Pack AI, Chen NH, Fietze I, Gislason T, Holfinger S, Magalang UJ, Penzel T. Heart Rate Variability during Wakefulness as a Marker of Obstructive Sleep Apnea Severity. Sleep 2021 Jan 28: zsab018 doi: 10.1093/sleep/zsab018
Abstract：
An important parameter of polysomnography is recorded with the ECG and additional heart rate recordings. Often the evaluation is minimal in the summarizing reports. As this parameter adds much information to the sleep signals, such as EEG, EOG, and EMG, the cardiac signals give additional diagnostic information for autonomic nervous activity during sleep. In this overview we present methodological developments in sleep research focusing on heart rate, ECG and cardio-respiratory couplings. I will report on physiological and pathophysiological insights related to sleep medicine obtained by ECG, heart rate and new technical developments. Recorded nocturnal ECG facilitates conventional heart rate variability analysis, studies of cyclical variations of heart rate, and analysis of ECG waveform. In healthy adults, the autonomous nervous system is regulated in different ways during wakefulness, slow-wave sleep, and REM sleep. Analysis of beat-to-beat heart-rate variations with statistical methods allows us to estimate sleep stages based on the differences in autonomic nervous system regulation. Up to some degree, it is possible to track transitions from wakefulness to sleep by analysis of heart-rate variations. ECG and heart rate analysis allow assessment of selected sleep disorders as well. Sleep disordered breathing can be detected reliably by studying cyclical variation of heart rate combined with respiration-modulated changes in ECG morphology. Examples for this detection method are presented.