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Disentangling respiratory sinus arrhythmia in heart rate variability records

  • Objective: Several different measures of heart rate variability, and particularly of respiratory sinus arrhythmia, are widely used in research and clinical applications. For many purposes it is important to know which features of heart rate variability are directly related to respiration and which are caused by other aspects of cardiac dynamics. Approach: Inspired by ideas from the theory of coupled oscillators, we use simultaneous measurements of respiratory and cardiac activity to perform a nonlinear disentanglement of the heart rate variability into the respiratory-related component and the rest. Main results: The theoretical consideration is illustrated by the analysis of 25 data sets from healthy subjects. In all cases we show how the disentanglement is manifested in the different measures of heart rate variability. Significance: The suggested technique can be exploited as a universal preprocessing tool, both for the analysis of respiratory influence on the heart rate and in cases when effects of other factors on the heart rateObjective: Several different measures of heart rate variability, and particularly of respiratory sinus arrhythmia, are widely used in research and clinical applications. For many purposes it is important to know which features of heart rate variability are directly related to respiration and which are caused by other aspects of cardiac dynamics. Approach: Inspired by ideas from the theory of coupled oscillators, we use simultaneous measurements of respiratory and cardiac activity to perform a nonlinear disentanglement of the heart rate variability into the respiratory-related component and the rest. Main results: The theoretical consideration is illustrated by the analysis of 25 data sets from healthy subjects. In all cases we show how the disentanglement is manifested in the different measures of heart rate variability. Significance: The suggested technique can be exploited as a universal preprocessing tool, both for the analysis of respiratory influence on the heart rate and in cases when effects of other factors on the heart rate variability are in focus.zeige mehrzeige weniger

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Verfasserangaben:Çağdaş Topçu, Matthias Frühwirth, Maximilian MoserORCiD, Michael RosenblumORCiDGND, Arkadij PikovskijORCiDGND
URN:urn:nbn:de:kobv:517-opus4-436315
DOI:https://doi.org/10.25932/publishup-43631
ISSN:1866-8372
Titel des übergeordneten Werks (Deutsch):Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe
Schriftenreihe (Bandnummer):Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (913)
Publikationstyp:Postprint
Sprache:Englisch
Datum der Erstveröffentlichung:26.05.2020
Erscheinungsjahr:2018
Veröffentlichende Institution:Universität Potsdam
Datum der Freischaltung:26.05.2020
Freies Schlagwort / Tag:coupled oscillators model; data analysis; heart rate variability; phase dynamics; respiratory sinus arrhythmia
Ausgabe:913
Seitenanzahl:15
Quelle:Physiological Measurement 39 (2018) 054002 DOI: 10.1088/1361-6579/aabea4
Organisationseinheiten:Mathematisch-Naturwissenschaftliche Fakultät
DDC-Klassifikation:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Peer Review:Referiert
Publikationsweg:Open Access
Fördermittelquelle:Horizon 2020
Lizenz (Deutsch):License LogoKeine öffentliche Lizenz: Unter Urheberrechtsschutz
Externe Anmerkung:Bibliographieeintrag der Originalveröffentlichung/Quelle
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