Literature DB >> 15854678

An operator splitting method for solving the bidomain equations coupled to a volume conductor model for the torso.

Joakim Sundnes1, Glenn Terje Lines, Aslak Tveito.   

Abstract

In this paper we present a numerical method for the bidomain model, which describes the electrical activity in the heart. The model consists of two partial differential equations (PDEs), which are coupled to systems of ordinary differential equations (ODEs) describing electrochemical reactions in the cardiac cells. Many applications require coupling these equations to a third PDE, describing the electrical fields in the torso surrounding the heart. The resulting system is challenging to solve numerically, because of its complexity and very strict resolution requirements in time and space. We propose a method based on operator splitting and a fully coupled discretization of the three PDEs. Numerical experiments show that for simple simulation cases and fine discretizations, the algorithm is second-order accurate in space and time.

Mesh:

Year:  2005        PMID: 15854678     DOI: 10.1016/j.mbs.2005.01.001

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  22 in total

Review 1.  Modeling defibrillation of the heart: approaches and insights.

Authors:  Natalia Trayanova; Jason Constantino; Takashi Ashihara; Gernot Plank
Journal:  IEEE Rev Biomed Eng       Date:  2011

2.  Nonlinear and Stochastic Dynamics in the Heart.

Authors:  Zhilin Qu; Gang Hu; Alan Garfinkel; James N Weiss
Journal:  Phys Rep       Date:  2014-10-10       Impact factor: 25.600

3.  Improved discretisation and linearisation of active tension in strongly coupled cardiac electro-mechanics simulations.

Authors:  J Sundnes; S Wall; H Osnes; T Thorvaldsen; A D McCulloch
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-07-16       Impact factor: 1.763

4.  Increased cell membrane capacitance is the dominant mechanism of stretch-dependent conduction slowing in the rabbit heart: a computational study.

Authors:  Bernardo L de Oliveira; Emily R Pfeiffer; Joakim Sundnes; Samuel T Wall; Andrew D McCulloch
Journal:  Cell Mol Bioeng       Date:  2015-03-24       Impact factor: 2.321

5.  A macro finite-element formulation for cardiac electrophysiology simulations using hybrid unstructured grids.

Authors:  Bernardo M Rocha; Ferdinand Kickinger; Anton J Prassl; Gundolf Haase; Edward J Vigmond; Rodrigo Weber dos Santos; Sabine Zaglmayr; Gernot Plank
Journal:  IEEE Trans Biomed Eng       Date:  2010-08-09       Impact factor: 4.538

6.  Solving the coupled system improves computational efficiency of the bidomain equations.

Authors:  James A Southern; Gernot Plank; Edward J Vigmond; Jonathan P Whiteley
Journal:  IEEE Trans Biomed Eng       Date:  2009-05-19       Impact factor: 4.538

7.  Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.

Authors:  Nicholas A Cilfone; Denise E Kirschner; Jennifer J Linderman
Journal:  Cell Mol Bioeng       Date:  2015-03       Impact factor: 2.321

Review 8.  From mitochondrial ion channels to arrhythmias in the heart: computational techniques to bridge the spatio-temporal scales.

Authors:  Gernot Plank; Lufang Zhou; Joseph L Greenstein; Sonia Cortassa; Raimond L Winslow; Brian O'Rourke; Natalia A Trayanova
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-09-28       Impact factor: 4.226

9.  Efficient fully implicit time integration methods for modeling cardiac dynamics.

Authors:  Wenjun Ying; Donald J Rose; Craig S Henriquez
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

10.  A fully implicit finite element method for bidomain models of cardiac electromechanics.

Authors:  Hüsnü Dal; Serdar Göktepe; Michael Kaliske; Ellen Kuhl
Journal:  Comput Methods Appl Mech Eng       Date:  2012-07-24       Impact factor: 6.756

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