Hybrid automata approach in modeling the role of pathways between sinoatrial node (the heart pacemaker) and atrium

Danuta Makowiec , Zbigniew R. Struzik


The functional anatomy between the human right atrium and the sinoatrial node (SAN) still remains an open problem under investigation. There are contradictory hypotheses of how the SAN is electrically connected to the atria. We use an accurate and efficient approach of the so-called hybrid automata to investigate electrophysiological aspects of the atria–SAN coupling. This approach allows us to simulate the tissue heterogeneity preserving high accuracy of cellular dynamics as a continuous time Markov process with transitions representing short-lived transient behaviors. Oursimulations suggest that there is an optimal organization of the SAN exit pathways to the atrium, which here we have identified to be smaller than 1/4 (with maximum at 1/16) of all possible SAN exits to the atrium. At this fraction, the system provides almost always normal heart rhythm, if only the density of connections between cells is high enough and the cells perform the excitation with high probability. Deviations from these conditions could result in tachycardia or in a loss of rhythm.
Author Danuta Makowiec (FMPI / ITPA)
Danuta Makowiec,,
- Institute of Theoretical Physics and Astrophysics
, Zbigniew R. Struzik
Zbigniew R. Struzik,,
Journal seriesActa Physica Polonica B Proceedings Supplement, [Acta Physica Polonica B Proceedings Supplement], ISSN 1899-2358, e-ISSN 2082-7865, (N/A 20 pkt)
Issue year2019
Publication size in sheets1.15
Keywords in Polishautomaty czasowe, arytmia przedsionkowa, symulacja Monte Carlo
Keywords in Englishtimed automata, atrial arrhythmia, Monte Carlo simulation
ASJC Classification3100 General Physics and Astronomy
Languageen angielski
LicenseRepository; published final; Uznanie Autorstwa (CC-BY); with publication
Makowiec_Danuta_Hybrid_automata_approach_in_modeling_2019.pdf 6.15 MB
Score (nominal)20
Score sourcejournalList
ScoreMinisterial score = 20.0, 28-01-2020, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.213
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LicencjaUtwór jest udostępniany na licencji Creative Commons Uznanie autorstwa 4.0 Międzynarodowe (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/
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