Literature DB >> 17900668

Solvers for the cardiac bidomain equations.

E J Vigmond1, R Weber dos Santos, A J Prassl, M Deo, G Plank.   

Abstract

The bidomain equations are widely used for the simulation of electrical activity in cardiac tissue. They are especially important for accurately modeling extracellular stimulation, as evidenced by their prediction of virtual electrode polarization before experimental verification. However, solution of the equations is computationally expensive due to the fine spatial and temporal discretization needed. This limits the size and duration of the problem which can be modeled. Regardless of the specific form into which they are cast, the computational bottleneck becomes the repeated solution of a large, linear system. The purpose of this review is to give an overview of the equations and the methods by which they have been solved. Of particular note are recent developments in multigrid methods, which have proven to be the most efficient.

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Year:  2007        PMID: 17900668      PMCID: PMC2881536          DOI: 10.1016/j.pbiomolbio.2007.07.012

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


  39 in total

1.  A bidomain model based BEM-FEM coupling formulation for anisotropic cardiac tissue.

Authors:  G Fischer; B Tilg; R Modre; G J Huiskamp; J Fetzer; W Rucker; P Wach
Journal:  Ann Biomed Eng       Date:  2000       Impact factor: 3.934

2.  A simulation study evaluating the performance of high-density electrode arrays on myocardial tissue.

Authors:  J C Eason; R A Malkin
Journal:  IEEE Trans Biomed Eng       Date:  2000-07       Impact factor: 4.538

3.  Transversal versus longitudinal current propagation on a cardiac tissue and its relation to MCG.

Authors:  R Weber dos Santos; F Dickstein; D Marchesin
Journal:  Biomed Tech (Berl)       Date:  2002       Impact factor: 1.411

4.  A numerical scheme for modeling wavefront propagation on a monolayer of arbitrary geometry.

Authors:  Steeve Zozor; Olivier Blanc; Vincent Jacquemet; Nathalie Virag; Jean-Marc Vesin; Etienne Pruvot; Lukas Kappenberger; Craig Henriquez
Journal:  IEEE Trans Biomed Eng       Date:  2003-04       Impact factor: 4.538

5.  A computational model of the human left-ventricular epicardial myocyte.

Authors:  Vivek Iyer; Reza Mazhari; Raimond L Winslow
Journal:  Biophys J       Date:  2004-09       Impact factor: 4.033

6.  Parallel multigrid preconditioner for the cardiac bidomain model.

Authors:  Rodrigo Weber dos Santos; Gernot Plank; Steffen Bauer; Edward J Vigmond
Journal:  IEEE Trans Biomed Eng       Date:  2004-11       Impact factor: 4.538

7.  A comparison of monodomain and bidomain reaction-diffusion models for action potential propagation in the human heart.

Authors:  Mark Potse; Bruno Dubé; Jacques Richer; Alain Vinet; Ramesh M Gulrajani
Journal:  IEEE Trans Biomed Eng       Date:  2006-12       Impact factor: 4.538

8.  Rate dependence and regulation of action potential and calcium transient in a canine cardiac ventricular cell model.

Authors:  Thomas J Hund; Yoram Rudy
Journal:  Circulation       Date:  2004-10-25       Impact factor: 29.690

9.  Defibrillation depends on conductivity fluctuations and the degree of disorganization in reentry patterns.

Authors:  Gernot Plank; L Joshua Leon; Shane Kimber; Edward J Vigmond
Journal:  J Cardiovasc Electrophysiol       Date:  2005-02

10.  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

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  97 in total

1.  An intuitive safety factor for cardiac propagation.

Authors:  Patrick M Boyle; Edward J Vigmond
Journal:  Biophys J       Date:  2010-06-16       Impact factor: 4.033

2.  Arrhythmogenesis by single ectopic beats originating in the Purkinje system.

Authors:  Makarand Deo; Patrick M Boyle; Albert M Kim; Edward J Vigmond
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-07-09       Impact factor: 4.733

3.  A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.

Authors:  J D Bayer; R C Blake; G Plank; N A Trayanova
Journal:  Ann Biomed Eng       Date:  2012-05-31       Impact factor: 3.934

4.  A comparison of solver performance for complex gastric electrophysiology models.

Authors:  Shameer Sathar; Leo K Cheng; Mark L Trew
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2015

5.  Image-based estimation of ventricular fiber orientations for personalized modeling of cardiac electrophysiology.

Authors:  Fijoy Vadakkumpadan; Hermenegild Arevalo; Can Ceritoglu; Michael Miller; Natalia Trayanova
Journal:  IEEE Trans Med Imaging       Date:  2012-01-18       Impact factor: 10.048

6.  Optogenetics-enabled dynamic modulation of action potential duration in atrial tissue: feasibility of a novel therapeutic approach.

Authors:  Thomas V Karathanos; Patrick M Boyle; Natalia A Trayanova
Journal:  Europace       Date:  2014-11       Impact factor: 5.214

7.  Arrhythmogenic mechanisms of the Purkinje system during electric shocks: a modeling study.

Authors:  Makarand Deo; Patrick Boyle; Gernot Plank; Edward Vigmond
Journal:  Heart Rhythm       Date:  2009-08-22       Impact factor: 6.343

8.  Automatically generated, anatomically accurate meshes for cardiac electrophysiology problems.

Authors:  Anton J Prassl; Ferdinand Kickinger; Helmut Ahammer; Vicente Grau; Jürgen E Schneider; Ernst Hofer; Edward J Vigmond; Natalia A Trayanova; Gernot Plank
Journal:  IEEE Trans Biomed Eng       Date:  2009-02-06       Impact factor: 4.538

Review 9.  Towards predictive modelling of the electrophysiology of the heart.

Authors:  Edward Vigmond; Fijoy Vadakkumpadan; Viatcheslav Gurev; Hermenegild Arevalo; Makarand Deo; Gernot Plank; Natalia Trayanova
Journal:  Exp Physiol       Date:  2009-03-06       Impact factor: 2.969

10.  Development of an anatomically detailed MRI-derived rabbit ventricular model and assessment of its impact on simulations of electrophysiological function.

Authors:  Martin J Bishop; Gernot Plank; Rebecca A B Burton; Jürgen E Schneider; David J Gavaghan; Vicente Grau; Peter Kohl
Journal:  Am J Physiol Heart Circ Physiol       Date:  2009-11-20       Impact factor: 4.733

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