Paper Info
Title
Impact of Limits in Pathways Between Sinoatrial Node and Atrium on Heart Rhythm by Timed Automata Model
Abstract
There are evidences that the human right atrium and sinoatrial node (SAN) are functionally separated except at discrete SAN-atrial electrical junctions. We hypothesize that such anatomy could be a source of re-entry around the SAN. A model was developed which reconstructs the human right atrium anatomy. The activity of a myocyte was simulated by a timed automaton with continuous and discrete transitions reproducing the known stages of the action potential of the cellular membrane. A stochastic 2D network of timed automata was designed to model the grid of the right atrium. Discrete modeling allowed us to specify directly the rate of SAN to atrium pathways. Also, the influence of (1) atrial tissue fibrosis, via probability for transversal intercellular network connections, and of (2) impairment of individual cells via probability of a cell to excite, were controlled. The simulations provided a critical relationship between atrial anatomy and the rhythm of heart excitations. It occurred that at probability of 1/8 of SAN-atrium pathways (randomly chosen), the occurrence of the normal rhythm attained the highest probability - close to 1, in large intervals for the density of transversal intercellular connections, and for the levels of cellular impairment.
Year
DOI
Venue
2018
10.22489/CinC.2018.047
2018 Computing in Cardiology Conference (CinC)
Keywords
Field
DocType
sinoatrial node,heart rhythm,timed automata model,discrete SAN-atrial,discrete transitions,stochastic 2D network,discrete modeling,transversal intercellular network connections,atrial anatomy,heart excitations,SAN-atrium pathways,atrial tissue fibrosis
Heart Rhythm,Neuroscience,Atrium (architecture),Sinoatrial node,Discrete Modeling,Computer science,Automaton,Timed automaton,Right atrium,Rhythm
Conference
Volume
ISSN
ISBN
45
2325-8861
978-1-7281-0924-4
Citations 
PageRank 
References 
0
0.34
2
Authors
2
Name
Order
Citations
PageRank
Danuta Makowiec164.74
Zbigniew R. Struzik214516.92