Publication detail

A simplified 2D model of reentry in cardiac tissue using the FHN model.

HEMZAL, M.

Original Title

A simplified 2D model of reentry in cardiac tissue using the FHN model.

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

Spatial inhomogeneities in cardiac tissue, such as fibroblast clumps, scar tissue, or ischemic tissue, are well known to be sources of reentrant activity in the muscle that can induce certain cardiac arrhythmias. In this paper, two models of cardiac tissue were investigated. First, a homogeneous cardiac tissue model is introduced, in which the normal action potential distribution is shown. The second model with spatial inhomogeneity(regional ischemia, scar tissue, fibroblast clumps) that induces the reentrant activity of the cardiac tissue. The distribution of the action potential was solved in the cardiac tissue using a monodomain model with a modified FitzHugh-Nagumo (FHN) ionic model. To simulate the inhomogeneity in the tissue, one parameter of the FHN model that accounts for the excitability of the cell was modified, as well as the diffusion coefficient in the reaction-diffusion equation. This modification led to the reentrant activity in the second model. This simplified model can be used to study arrhythmogenic waves induced by spatial inhomogeneities in cardiac tissue.

Keywords

FEM, FitzHugh-Nagumo, monodomain model, reentry

Authors

HEMZAL, M.

Released

23. 4. 2023

Publisher

Brno University of Technology, Faculty of Electrical Engineering

Location

Brno

ISBN

ISBN 978-80-214-6153

Book

Proceedings I of the 29th Conference STUDENT EEICT 2023

Edition

1.

Pages from

284

Pages to

288

Pages count

5

URL

https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf

BibTex

@inproceedings{BUT185065,
  author="Martin {Hemzal}",
  title="A simplified 2D model of reentry in cardiac tissue
using the FHN model.",
  booktitle="Proceedings I of the 29th Conference STUDENT EEICT 2023",
  year="2023",
  series="1.",
  pages="284--288",
  publisher="Brno University of Technology, Faculty of Electrical Engineering",
  address="Brno",
  isbn="ISBN 978-80-214-6153",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_1.pdf"
}