Literature DB >> 20553747

A numerical guide to the solution of the bi-domain equations of cardiac electrophysiology.

Pras Pathmanathan1, Miguel O Bernabeu, Rafel Bordas, Jonathan Cooper, Alan Garny, Joe M Pitt-Francis, Jonathan P Whiteley, David J Gavaghan.   

Abstract

Simulation of cardiac electrical activity using the bi-domain equations can be a massively computationally demanding problem. This study provides a comprehensive guide to numerical bi-domain modelling. Each component of bi-domain simulations--discretization, ODE-solution, linear system solution, and parallelization--is discussed, and previously-used methods are reviewed, new methods are proposed, and issues which cause particular difficulty are highlighted. Particular attention is paid to the choice of stimulus currents, compatibility conditions for the equations, the solution of singular linear systems, and convergence of the numerical scheme. 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20553747     DOI: 10.1016/j.pbiomolbio.2010.05.006

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  22 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.  On an infrastructure to support sharing and aggregating pre- and post-publication systems biology research data.

Authors:  Mark Slaymaker; James Osborne; Andrew Simpson; David Gavaghan
Journal:  Syst Synth Biol       Date:  2012-08-03

3.  Generation of Monophasic Action Potentials and Intermediate Forms.

Authors:  Shahriar Iravanian; Ilija Uzelac; Conner Herndon; Jonathan J Langberg; Flavio H Fenton
Journal:  Biophys J       Date:  2020-06-24       Impact factor: 4.033

4.  Muscle Thickness and Curvature Influence Atrial Conduction Velocities.

Authors:  Simone Rossi; Stephen Gaeta; Boyce E Griffith; Craig S Henriquez
Journal:  Front Physiol       Date:  2018-10-29       Impact factor: 4.566

5.  Semi-implicit Non-conforming Finite-Element Schemes for Cardiac Electrophysiology: A Framework for Mesh-Coarsening Heart Simulations.

Authors:  Javiera Jilberto; Daniel E Hurtado
Journal:  Front Physiol       Date:  2018-10-30       Impact factor: 4.566

6.  Computational modeling of chemo-electro-mechanical coupling: a novel implicit monolithic finite element approach.

Authors:  J Wong; S Göktepe; E Kuhl
Journal:  Int J Numer Method Biomed Eng       Date:  2013-06-24       Impact factor: 2.747

7.  A Multiscale Tridomain Model for Simulating Bioelectric Gastric Pacing.

Authors:  Shameer Sathar; Mark L Trew; Greg OGrady; Leo K Cheng
Journal:  IEEE Trans Biomed Eng       Date:  2015-06-11       Impact factor: 4.538

8.  Predicting critical drug concentrations and torsadogenic risk using a multiscale exposure-response simulator.

Authors:  Francisco Sahli Costabal; Jiang Yao; Anna Sher; Ellen Kuhl
Journal:  Prog Biophys Mol Biol       Date:  2018-10-26       Impact factor: 3.667

9.  Numerical quadrature and operator splitting in finite element methods for cardiac electrophysiology.

Authors:  Shankarjee Krishnamoorthi; Mainak Sarkar; William S Klug
Journal:  Int J Numer Method Biomed Eng       Date:  2013-07-19       Impact factor: 2.747

10.  A biophysically based finite-state machine model for analyzing gastric experimental entrainment and pacing recordings.

Authors:  Shameer Sathar; Mark L Trew; Peng Du; Greg O'Grady; Leo K Cheng
Journal:  Ann Biomed Eng       Date:  2013-11-26       Impact factor: 3.934

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