Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00159816%3A_____%2F16%3A00065654" target="_blank" >RIV/00159816:_____/16:00065654 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3389/fphys.2016.00460" target="_blank" >http://dx.doi.org/10.3389/fphys.2016.00460</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3389/fphys.2016.00460" target="_blank" >10.3389/fphys.2016.00460</a>
Alternative languages
Result language
angličtina
Original language name
Modulations of Heart Rate, ECG, and Cardio-Respiratory Coupling Observed in Polysomnography
Original language description
he 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).
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
ED - Physiology
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Frontiers in Physiology
ISSN
1664-042X
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
OCT
Country of publishing house
CH - SWITZERLAND
Number of pages
5
Pages from-to
460
UT code for WoS article
000386093800002
EID of the result in the Scopus database
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