Literature DB >> 12108777

Modified ionic models of cardiac tissue for efficient large scale computations.

Olivier Bernus1, Henri Verschelde, Alexander V Panfilov.   

Abstract

Recirculation of excitation, or re-entry, is one of the most important mechanisms of life-threatening cardiac arrhythmias and fibrillation. Modelling these phenomena requires large scale computations in two and three-dimensional slabs of cardiac tissue. Because of computational constraints, most of the studies use simplified (non-ionic) models of cardiac tissue, which are electrophysiologically less accurate than the detailed ionic models. In this paper, we propose a method to modify ionic models of cardiac tissue into an intermediate class of models, which are almost as efficient for computations as simplified models, and retain most of the properties of the original ionic models, such as the shape of the action potential, the restitution of action potential duration and of the conduction velocity, as well as unchanged description of most of the ionic currents.

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Year:  2002        PMID: 12108777     DOI: 10.1088/0031-9155/47/11/308

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  4 in total

1.  Reconstructing parameters of the FitzHugh-Nagumo system from boundary potential measurements.

Authors:  Yuan He; David E Keyes
Journal:  J Comput Neurosci       Date:  2007-05-10       Impact factor: 1.621

2.  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

3.  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

4.  A computationally efficient dynamic model of human epicardial tissue.

Authors:  Niccoló Biasi; Alessandro Tognetti
Journal:  PLoS One       Date:  2021-10-26       Impact factor: 3.240

  4 in total

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