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Numerical simulation of electrocardiograms for full cardiac cycles in healthy and pathological conditions

Elisa Schenone 1, 2 Annabelle Collin 3 Jean-Frédéric Gerbeau 2, 1 
1 REO - Numerical simulation of biological flows
LJLL - Laboratoire Jacques-Louis Lions, Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6
3 M3DISIM - Mathematical and Mechanical Modeling with Data Interaction in Simulations for Medicine
LMS - Laboratoire de mécanique des solides, Inria Saclay - Ile de France
Abstract : This work is dedicated to the simulation of full cycles of the electrical activity of the heart and the corresponding body surface potential. The model is based on a realistic torso and heart anatomy, including ventricles and atria. One of the specificities of our approach is to model the atria as a surface, which is the kind of data typically provided by medical imaging for thin volumes. The bidomain equations are considered in their usual formulation in the ventricles, and in a surface formulation on the atria. Two ionic models are used: the Courtemanche-Ramirez-Nattel model on the atria, and the " Minimal model for human Ventricular action potentials " (MV) by Bueno-Orovio, Cherry and Fenton in the ventricles. The heart is weakly coupled to the torso by a Robin boundary condition based on a resistor-capacitor transmission condition. Various ECGs are simulated in healthy and pathological conditions (left and right bundle branch blocks, Bachmann's bundle block, Wolff-Parkinson-White syndrome). To assess the numerical ECGs, we use several qualitative and quantitative criteria found in the medical literature. Our simulator can also be used to generate the signals measured by a vest of electrodes. This capability is illustrated at the end of the article.
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Submitted on : Monday, August 17, 2015 - 3:20:37 PM
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Elisa Schenone, Annabelle Collin, Jean-Frédéric Gerbeau. Numerical simulation of electrocardiograms for full cardiac cycles in healthy and pathological conditions. International Journal for Numerical Methods in Biomedical Engineering, 2016, 32 (5), ⟨10.1002/cnm.2744⟩. ⟨hal-01184744⟩



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