Literature DB >> 19306030

Cardiac anisotropy in boundary-element models for the electrocardiogram.

Mark Potse1, Bruno Dubé, Alain Vinet.   

Abstract

The boundary-element method (BEM) is widely used for electrocardiogram (ECG) simulation. Its major disadvantage is its perceived inability to deal with the anisotropic electric conductivity of the myocardial interstitium, which led researchers to represent only intracellular anisotropy or neglect anisotropy altogether. We computed ECGs with a BEM model based on dipole sources that accounted for a "compound" anisotropy ratio. The ECGs were compared with those computed by a finite-difference model, in which intracellular and interstitial anisotropy could be represented without compromise. For a given set of conductivities, we always found a compound anisotropy value that led to acceptable differences between BEM and finite-difference results. In contrast, a fully isotropic model produced unacceptably large differences. A model that accounted only for intracellular anisotropy showed intermediate performance. We conclude that using a compound anisotropy ratio allows BEM-based ECG models to more accurately represent both anisotropies.

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Year:  2009        PMID: 19306030      PMCID: PMC2688616          DOI: 10.1007/s11517-009-0472-x

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  44 in total

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Journal:  Crit Rev Biomed Eng       Date:  1993

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Journal:  J Math Biol       Date:  1983       Impact factor: 2.259

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  18 in total

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5.  The Nightingale Prize 2010 for best MBEC paper in 2009 awarded.

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Review 6.  Mathematical modeling and simulation of ventricular activation sequences: implications for cardiac resynchronization therapy.

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7.  Electrically conductive chitosan/carbon scaffolds for cardiac tissue engineering.

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Journal:  Br J Pharmacol       Date:  2013-02       Impact factor: 8.739

10.  Evaluation of a Rapid Anisotropic Model for ECG Simulation.

Authors:  Simone Pezzuto; Peter Kal'avský; Mark Potse; Frits W Prinzen; Angelo Auricchio; Rolf Krause
Journal:  Front Physiol       Date:  2017-05-02       Impact factor: 4.566

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