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.…
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| Author details: | 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 |
| Title of parent work (German): | Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe |
| Publication series (Volume number): | Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe (913) |
| Publication type: | Postprint |
| Language: | English |
| Date of first publication: | 2020/05/26 |
| Publication year: | 2018 |
| Publishing institution: | Universität Potsdam |
| Release date: | 2020/05/26 |
| Tag: | coupled oscillators model; data analysis; heart rate variability; phase dynamics; respiratory sinus arrhythmia |
| Issue: | 913 |
| Number of pages: | 15 |
| Source: | Physiological Measurement 39 (2018) 054002 DOI: 10.1088/1361-6579/aabea4 |
| Organizational units: | Mathematisch-Naturwissenschaftliche Fakultät |
| DDC classification: | 6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit |
| Peer review: | Referiert |
| Publishing method: | Open Access |
| Grantor: | Horizon 2020 |
| License (German): |  Keine öffentliche Lizenz: Unter Urheberrechtsschutz |
| External remark: | Bibliographieeintrag der Originalveröffentlichung/Quelle |
