CARDONE-NOOTT, Louie; BUENO-OROVIO, Alfonso; MINCHOLÉ, Ana; BURRAGE, Kevin; WALLMAN, Mikael; ZEMZEMI, Nejib; DALL'ARMELLINA, Erica; BLANCA, Rodriguez

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CARDONE-NOOTT, Louie
Computing Science Laboratory - Oxford University

BUENO-OROVIO, Alfonso
Computing Science Laboratory - Oxford University

MINCHOLÉ, Ana
Computing Science Laboratory - Oxford University

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IEEE Computers in Cardiology, 2014-09-08, Cambridge. 2014-09-08

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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.< Réduire

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

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