Literature DB >> 11556683

Computational models of normal and abnormal action potential propagation in cardiac tissue: linking experimental and clinical cardiology.

R H Clayton1.   

Abstract

Computational models have the potential to make a huge impact on our understanding of normal and abnormal cardiac function. The aim of this article is to review tools that have been developed to simulate the electrophysiology of cardiac cells and tissue, and to show how computational models have been used to gain insight into normal and abnormal action potential propagation. Some of the practical problems experienced in the development and application of these models are described, and examples are given.

Mesh:

Year:  2001        PMID: 11556683     DOI: 10.1088/0967-3334/22/3/201

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  6 in total

1.  Verification of cardiac tissue electrophysiology simulators using an N-version benchmark.

Authors:  Steven A Niederer; Eric Kerfoot; Alan P Benson; Miguel O Bernabeu; Olivier Bernus; Chris Bradley; Elizabeth M Cherry; Richard Clayton; Flavio H Fenton; Alan Garny; Elvio Heidenreich; Sander Land; Mary Maleckar; Pras Pathmanathan; Gernot Plank; José F Rodríguez; Ishani Roy; Frank B Sachse; Gunnar Seemann; Ola Skavhaug; Nic P Smith
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2011-11-13       Impact factor: 4.226

2.  Conditions for propagation and block of excitation in an asymptotic model of atrial tissue.

Authors:  Radostin D Simitev; Vadim N Biktashev
Journal:  Biophys J       Date:  2006-01-13       Impact factor: 4.033

3.  Early afterdepolarisations and ventricular arrhythmias in cardiac tissue: a computational study.

Authors:  Simon Scarle; Richard H Clayton
Journal:  Med Biol Eng Comput       Date:  2008-10-11       Impact factor: 2.602

4.  Dispersion of cardiac action potential duration and the initiation of re-entry: a computational study.

Authors:  Richard H Clayton; Arun V Holden
Journal:  Biomed Eng Online       Date:  2005-02-18       Impact factor: 2.819

5.  Simple model for identifying critical regions in atrial fibrillation.

Authors:  Kim Christensen; Kishan A Manani; Nicholas S Peters
Journal:  Phys Rev Lett       Date:  2015-01-16       Impact factor: 9.161

6.  A novel modular modeling approach for understanding different electromechanics between left and right heart in rat.

Authors:  Nari Kim; Julius D Pronto; David P Nickerson; Andrew J Taberner; Peter J Hunter
Journal:  Front Physiol       Date:  2022-09-13       Impact factor: 4.755

  6 in total

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