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  Simulating dynamics of circulation in the awake state and different stages of sleep using non-autonomous mathematical model with time delay

Karavaev, A. S., Ishbulatov, Y. M., Prokhorov, M. D., Ponomarenko, V. I., Kiselev, A. R., Runnova, A. E., Hramkov, A. N., Semyachkina-Glushkovskaya, O. V., Kurths, J., Penzel, T. (2021): Simulating dynamics of circulation in the awake state and different stages of sleep using non-autonomous mathematical model with time delay. - Frontiers in Physiology, 11, 612787.
https://doi.org/10.3389/fphys.2020.612787

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_25475 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_25475_2
Genre: Journal Article

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 Creators:
Karavaev, Anatoly S.1, Author
Ishbulatov, Yurii M.1, Author
Prokhorov, Mikhail D.1, Author
Ponomarenko, Vladimir I.1, Author
Kiselev, Anton R.1, Author
Runnova, Anastasiia E.1, Author
Hramkov, Alexey N.1, Author
Semyachkina-Glushkovskaya, Oxana V.1, Author
Kurths, Jürgen2, Author              
Penzel, Thomas1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: We propose a mathematical model of the human cardiovascular system. The model allows one to simulate the main heart rate, its variability under the influence of the autonomic nervous system, breathing process, and oscillations of blood pressure. For the first time, the model takes into account the activity of the cerebral cortex structures that modulate the autonomic control loops of blood circulation in the awake state and in various stages of sleep. The adequacy of the model is demonstrated by comparing its time series with experimental records of healthy subjects in the SIESTA database. The proposed model can become a useful tool for studying the characteristics of the cardiovascular system dynamics during sleep.

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 Dates: 2020-11-252021-01-132021-01-13
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3389/fphys.2020.612787
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Health
Model / method: Nonlinear Data Analysis
Research topic keyword: Nonlinear Dynamics
 Degree: -

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Title: Frontiers in Physiology
Source Genre: Journal, SCI, Scopus, oa
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Pages: - Volume / Issue: 11 Sequence Number: 612787 Start / End Page: - Identifier: Publisher: Frontiers
Other: 1664-042X
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/frontiers-in-physiology