Literature DB >> 25099569

Computational modelling of cardiac electrophysiology: explanation of the variability of results from different numerical solvers.

P Pathmanathan1, M O Bernabeu, S A Niederer, D J Gavaghan, D Kay.   

Abstract

A recent verification study compared 11 large-scale cardiac electrophysiology solvers on an unambiguously defined common problem. An unexpected amount of variation was observed between the codes, including significant error in conduction velocity in the majority of the codes at certain spatial resolutions. In particular, the results of the six finite element codes varied considerably despite each using the same order of interpolation. In this present study, we compare various algorithms for cardiac electrophysiological simulation, which allows us to fully explain the differences between the solvers. We identify the use of mass lumping as the fundamental cause of the largest variations, specifically the combination of the commonly used techniques of mass lumping and operator splitting, which results in a slightly different form of mass lumping to that supported by theory and leads to increased numerical error. Other variations are explained through the manner in which the ionic current is interpolated. We also investigate the effect of different forms of mass lumping in various types of simulation.
Copyright © 2012 John Wiley & Sons, Ltd.

Keywords:  finite element; mass lumping; numerical methods; operator splitting; verification

Mesh:

Year:  2012        PMID: 25099569     DOI: 10.1002/cnm.2467

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  14 in total

1.  A framework for biomechanics simulations using four-chamber cardiac models.

Authors:  Arian Jafari; Edward Pszczolkowski; Adarsh Krishnamurthy
Journal:  J Biomech       Date:  2019-05-21       Impact factor: 2.712

2.  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

3.  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

4.  Cellular cardiac electrophysiology modeling with Chaste and CellML.

Authors:  Jonathan Cooper; Raymond J Spiteri; Gary R Mirams
Journal:  Front Physiol       Date:  2015-01-06       Impact factor: 4.566

5.  A Computational Study of the Electrophysiological Substrate in Patients Suffering From Atrial Fibrillation.

Authors:  S Pagani; L Dede'; A Frontera; M Salvador; L R Limite; A Manzoni; F Lipartiti; G Tsitsinakis; A Hadjis; P Della Bella; A Quarteroni
Journal:  Front Physiol       Date:  2021-07-08       Impact factor: 4.566

6.  Chaste: an open source C++ library for computational physiology and biology.

Authors:  Gary R Mirams; Christopher J Arthurs; Miguel O Bernabeu; Rafel Bordas; Jonathan Cooper; Alberto Corrias; Yohan Davit; Sara-Jane Dunn; Alexander G Fletcher; Daniel G Harvey; Megan E Marsh; James M Osborne; Pras Pathmanathan; Joe Pitt-Francis; James Southern; Nejib Zemzemi; David J Gavaghan
Journal:  PLoS Comput Biol       Date:  2013-03-14       Impact factor: 4.475

7.  High-order finite element methods for cardiac monodomain simulations.

Authors:  Kevin P Vincent; Matthew J Gonzales; Andrew K Gillette; Christopher T Villongco; Simone Pezzuto; Jeffrey H Omens; Michael J Holst; Andrew D McCulloch
Journal:  Front Physiol       Date:  2015-08-05       Impact factor: 4.566

8.  Ensuring reliability of safety-critical clinical applications of computational cardiac models.

Authors:  Pras Pathmanathan; Richard A Gray
Journal:  Front Physiol       Date:  2013-12-11       Impact factor: 4.566

9.  Filament Dynamics during Simulated Ventricular Fibrillation in a High-Resolution Rabbit Heart.

Authors:  Pras Pathmanathan; Richard A Gray
Journal:  Biomed Res Int       Date:  2015-10-26       Impact factor: 3.411

10.  Uncertainty and variability in computational and mathematical models of cardiac physiology.

Authors:  Gary R Mirams; Pras Pathmanathan; Richard A Gray; Peter Challenor; Richard H Clayton
Journal:  J Physiol       Date:  2016-06-09       Impact factor: 5.182

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