Modeling heart rate variability including the effect of sleep stages

Mateusz Soliński , Jan Gierałtowski , Jan Żebrowski


We propose a model for heart rate variability (HRV) of a healthy individual during sleep with the assumption that the heart rate variability is predominantly a random process. Autonomic nervous system activity has different properties during different sleep stages, and this affects many physiological systems including the cardiovascular system. Different properties of HRV can be observed during each particular sleep stage. We believe that taking into account the sleep architecture is crucial for modeling the human nighttime HRV. The stochastic model of HRV introduced by Kantelhardt et al. was used as the initial starting point. We studied the statistical properties of sleep in healthy adults, analyzing 30 polysomnographic recordings, which provided realistic information about sleep architecture. Next, we generated synthetic hypnograms and included them in the modeling of nighttime RR interval series. The results of standard HRV linear analysis and of nonlinear analysis (Shannon entropy, Poincaré plots, and multiscale multifractal analysis) show that-in comparison with real data-the HRV signals obtained from our model have very similar properties, in particular including the multifractal characteristics at different time scales. The model described in this paper is discussed in the context of normal sleep. However, its construction is such that it should allow to model heart rate variability in sleep disorders. This possibility is briefly discussed. © 2016 AIP Publishing LLC.
Author Mateusz Soliński (FP)
Mateusz Soliński,,
- Faculty of Physics
, Jan Gierałtowski (FP / PCSD)
Jan Gierałtowski,,
- Physics of Complex Systems Divison
, Jan Żebrowski (FP / PCSD)
Jan Żebrowski,,
- Physics of Complex Systems Divison
Journal seriesChaos, ISSN 1054-1500
Issue year2016
Publication size in sheets0.3
ASJC Classification2604 Applied Mathematics; 3100 General Physics and Astronomy; 2610 Mathematical Physics; 3109 Statistical and Nonlinear Physics
Languageen angielski
Score (nominal)45
Score sourcejournalList
ScoreMinisterial score = 40.0, 01-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 45.0, 01-01-2020, ArticleFromJournal
Publication indicators Scopus Citations = 10; WoS Citations = 9; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.023; WoS Impact Factor: 2016 = 2.283 (2) - 2016=2.312 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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