Literature DB >> 15520534

Multi-formalism modelling and simulation: application to cardiac modelling.

A Defontaine1, A Hernández, G Carrault.   

Abstract

Cardiovascular modelling has been a major research subject for the last decade. Different cardiac models have been developed at a cellular level as well as at the whole organ level. Most of these models are defined by a comprehensive cellular modelling using continuous formalisms or by a tissue-level modelling often based on discrete formalisms. Nevertheless, both views still suffer from difficulties that reduce their clinical applications: the first approach requires heavy computational resources while the second one is not able to reproduce certain pathologies. This paper presents an original methodology trying to gather advantages from both approaches, by means of a hybrid model mixing discrete and continuous formalisms. This method has been applied to define a hybrid model of cardiac action potential propagation on a 2D grid of endocardial cells, combining cellular automata and a set of cells defined by the Beeler-Reuter model. For simulations under physiological and ischemic conditions, results show that the action potential propagation as well as electrogram reconstructions are consistent with clinical diagnosis. Finally, the advantage of the proposed approach is discussed within the frame of cardiac modelling and simulation.

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Year:  2004        PMID: 15520534      PMCID: PMC2588093          DOI: 10.1023/B:ACBI.0000046598.69328.03

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


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3.  Simulation of action potential propagation in an inhomogeneous sheet of coupled excitable cells.

Authors:  R W Joyner; F Ramón; J W Morre
Journal:  Circ Res       Date:  1975-05       Impact factor: 17.367

4.  A model of the ventricular cardiac action potential. Depolarization, repolarization, and their interaction.

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6.  Reconstruction of the action potential of ventricular myocardial fibres.

Authors:  G W Beeler; H Reuter
Journal:  J Physiol       Date:  1977-06       Impact factor: 5.182

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8.  Computer simulation of cardiac pacing.

Authors:  H Ahlfeldt; H Tanaka; M E Nygårds; T Furukawa; O Wigertz
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