A Computational Investigation into the Effect of Infarction on Clinical Human Electrophysiology Biomarkers

Louie Cardone-Noott 1 Alfonso Bueno-Orovio 1 Ana Mincholé 1 Kevin Burrage 2, 1 Mikael Wallman 3, 1 Nejib Zemzemi 4 Erica Dall'Armellina 5, 1 Rodriguez Blanca 1
1 Computing Science Laboratory - Oxford University
2 University of Queensland [Brisbane]
3 Fraunhofer-Chalmers center [Gothenburg]
4 CARMEN - Modélisation et calculs pour l'électrophysiologie cardiaque
IMB - Institut de Mathématiques de Bordeaux, Inria Bordeaux - Sud-Ouest, IHU-LIRYC
5 Radcliffe Department of Medicine [Oxford]
Abstract : The electrocardiogram (ECG) is often used to diag- nose myocardial infarction, but sensitivity and specificity are low. Here we present a computational framework for solving the bidomain equations over an image-based hu- man geometry and simulating the 12 lead ECG. First, we demonstrate this approach by evaluating a population of eight models with varying distributions of local action po- tential duration, and report that only the model with apico- basal and inter-ventricular heterogeneities produces concordant T waves. Second, we simulate the effects of an old anterior infarct, which causes a reduction in T wave amplitude and width. Our methodology can contribute to the understanding of ECG alterations under challenging conditions for clinical diagnosis.
Type de document :
Communication dans un congrès
IEEE Computers in Cardiology, Sep 2014, Cambridge, United States. 2014
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https://hal.inria.fr/hal-01065716
Contributeur : Nejib Zemzemi <>
Soumis le : jeudi 18 septembre 2014 - 14:19:33
Dernière modification le : mardi 16 janvier 2018 - 17:56:01

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Louie Cardone-Noott, Alfonso Bueno-Orovio, Ana Mincholé, Kevin Burrage, Mikael Wallman, et al.. A Computational Investigation into the Effect of Infarction on Clinical Human Electrophysiology Biomarkers. IEEE Computers in Cardiology, Sep 2014, Cambridge, United States. 2014. 〈hal-01065716〉

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