Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/117717
Title: Modulations of heart rate, ECG, and cardio-respiratory coupling observed in polysomnography
Author(s): Penzel, ThomasLook up in the Integrated Authority File of the German National Library
Kantelhardt, Jan W.Look up in the Integrated Authority File of the German National Library
Bartsch, Ronny P.
Riedl, Maik
Kraemer, Jan F.
Wessel, NielsLook up in the Integrated Authority File of the German National Library
Garcia, CarmenLook up in the Integrated Authority File of the German National Library
Glos, MartinLook up in the Integrated Authority File of the German National Library
Fietze, IngoLook up in the Integrated Authority File of the German National Library
Schöbel, ChristophLook up in the Integrated Authority File of the German National Library
Issue Date: 2016
Type: Article
Language: English
Abstract: The cardiac component of cardio-respiratory polysomnography is covered by ECG and heart rate recordings. However, their evaluation is often underrepresented in summarizing reports. As complements to EEG, EOG, and EMG, these signals provide diagnostic information for autonomic nervous activity during sleep. This review presents major methodological developments in sleep research regarding heart rate, ECG, and cardio-respiratory couplings in a chronological (historical) sequence. It presents physiological and pathophysiological insights related to sleep medicine obtained by new technical developments. Recorded nocturnal ECG facilitates conventional heart rate variability (HRV) analysis, studies of cyclical variations of heart rate, and analysis of ECG waveform. In healthy adults, the autonomous nervous system is regulated in totally different ways during wakefulness, slow-wave sleep, and REM sleep. Analysis of beat-to-beat heart-rate variations with statistical methods enables us to estimate sleep stages based on the differences in autonomic nervous system regulation. Furthermore, 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 (amplitude of R wave and T wave).
URI: https://opendata.uni-halle.de//handle/1981185920/119677
http://dx.doi.org/10.25673/117717
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Frontiers in physiology
Publisher: Frontiers Research Foundation
Publisher Place: Lausanne
Volume: 7
Original Publication: 10.3389/fphys.2016.00460
Page Start: 1
Page End: 15
Appears in Collections:Open Access Publikationen der MLU

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