Literature DB >> 12468421

Multigrid block preconditioning for a coupled system of partial differential equations modeling the electrical activity in the heart.

J Sundnes1, G T Lines, K A Mardal, A Tveito.   

Abstract

The electrical activity of the heart may be modeled with a system of partial differential equations (PDEs) known as the bidomain model. Computer simulations based on these equations may become a helpful tool to understand the relationship between changes in the electrical field and various heart diseases. Because of the rapid variations in the electrical field, sufficiently accurate simulations require a fine-scale discretization of the equations. For realistic geometries this leads to a large number of grid points and consequently large linear systems to be solved for each time step. In this paper, we present a fully coupled discretization of the bidomain model, leading to a block structured linear system. We take advantage of the block structure to construct an efficient preconditioner for the linear system, by combining multigrid with an operator splitting technique.

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Year:  2002        PMID: 12468421     DOI: 10.1080/1025584021000025023

Source DB:  PubMed          Journal:  Comput Methods Biomech Biomed Engin        ISSN: 1025-5842            Impact factor:   1.763


  5 in total

1.  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

Review 2.  Solvers for the cardiac bidomain equations.

Authors:  E J Vigmond; R Weber dos Santos; A J Prassl; M Deo; G Plank
Journal:  Prog Biophys Mol Biol       Date:  2007-08-11       Impact factor: 3.667

3.  A Numerical Study of Scalable Cardiac Electro-Mechanical Solvers on HPC Architectures.

Authors:  Piero Colli Franzone; Luca F Pavarino; Simone Scacchi
Journal:  Front Physiol       Date:  2018-04-05       Impact factor: 4.566

4.  Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.

Authors:  Mark Potse
Journal:  Front Physiol       Date:  2018-04-20       Impact factor: 4.566

5.  GEMS: A Fully Integrated PETSc-Based Solver for Coupled Cardiac Electromechanics and Bidomain Simulations.

Authors:  Sander Arens; Hans Dierckx; Alexander V Panfilov
Journal:  Front Physiol       Date:  2018-10-16       Impact factor: 4.566

  5 in total

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