Literature DB >> 19457741

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

James A Southern1, Gernot Plank, Edward J Vigmond, Jonathan P Whiteley.   

Abstract

The bidomain equations are frequently used to model the propagation of cardiac action potentials across cardiac tissue. At the whole organ level, the size of the computational mesh required makes their solution a significant computational challenge. As the accuracy of the numerical solution cannot be compromised, efficiency of the solution technique is important to ensure that the results of the simulation can be obtained in a reasonable time while still encapsulating the complexities of the system. In an attempt to increase efficiency of the solver, the bidomain equations are often decoupled into one parabolic equation that is computationally very cheap to solve and an elliptic equation that is much more expensive to solve. In this study, the performance of this uncoupled solution method is compared with an alternative strategy in which the bidomain equations are solved as a coupled system. This seems counterintuitive as the alternative method requires the solution of a much larger linear system at each time step. However, in tests on two 3-D rabbit ventricle benchmarks, it is shown that the coupled method is up to 80% faster than the conventional uncoupled method-and that parallel performance is better for the larger coupled problem.

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Year:  2009        PMID: 19457741      PMCID: PMC5426531          DOI: 10.1109/TBME.2009.2022548

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  21 in total

1.  Computational techniques for solving the bidomain equations in three dimensions.

Authors:  Edward J Vigmond; Felipe Aguel; Natalia A Trayanova
Journal:  IEEE Trans Biomed Eng       Date:  2002-11       Impact factor: 4.538

2.  A numerical method for the solution of the bidomain equations in cardiac tissue.

Authors:  J. P. Keener; K. Bogar
Journal:  Chaos       Date:  1998-03       Impact factor: 3.642

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

Authors:  Joakim Sundnes; Glenn Terje Lines; Aslak Tveito
Journal:  Math Biosci       Date:  2005-04       Impact factor: 2.144

4.  A generalized finite difference method for modeling cardiac electrical activation on arbitrary, irregular computational meshes.

Authors:  Mark L Trew; Bruce H Smaill; David P Bullivant; Peter J Hunter; Andrew J Pullan
Journal:  Math Biosci       Date:  2005-09-06       Impact factor: 2.144

5.  On the computational complexity of the bidomain and the monodomain models of electrophysiology.

Authors:  Joakim Sundnes; Bjørn Fredrik Nielsen; Kent Andre Mardal; Xing Cai; Glenn Terje Lines; Aslak Tveito
Journal:  Ann Biomed Eng       Date:  2006-05-16       Impact factor: 3.934

6.  Directional differences of impulse spread in trabecular muscle from mammalian heart.

Authors:  L Clerc
Journal:  J Physiol       Date:  1976-02       Impact factor: 5.182

7.  Electroporation and shock-induced transmembrane potential in a cardiac fiber during defibrillation strength shocks.

Authors:  K A DeBruin; W Krassowska
Journal:  Ann Biomed Eng       Date:  1998 Jul-Aug       Impact factor: 3.934

8.  A finite volume model of cardiac propagation.

Authors:  D M Harrild; C S Henriquez
Journal:  Ann Biomed Eng       Date:  1997 Mar-Apr       Impact factor: 3.934

9.  Current injection into a two-dimensional anisotropic bidomain.

Authors:  N G Sepulveda; B J Roth; J P Wikswo
Journal:  Biophys J       Date:  1989-05       Impact factor: 4.033

10.  Algebraic multigrid preconditioner for the cardiac bidomain model.

Authors:  Gernot Plank; Manfred Liebmann; Rodrigo Weber dos Santos; Edward J Vigmond; Gundolf Haase
Journal:  IEEE Trans Biomed Eng       Date:  2007-04       Impact factor: 4.538

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  2 in total

1.  Multiscale coupling of transcranial direct current stimulation to neuron electrodynamics: modeling the influence of the transcranial electric field on neuronal depolarization.

Authors:  Edward T Dougherty; James C Turner; Frank Vogel
Journal:  Comput Math Methods Med       Date:  2014-10-23       Impact factor: 2.238

2.  Simulating Cardiac Electrophysiology Using Unstructured All-Hexahedra Spectral Elements.

Authors:  Gianmauro Cuccuru; Giorgio Fotia; Fabio Maggio; James Southern
Journal:  Biomed Res Int       Date:  2015-10-25       Impact factor: 3.411

  2 in total

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