A Computational Investigation into the Effect of Infarction on Clinical Human Electrophysiology Biomarkers
Paper i proceeding, 2014

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 con- cordant 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.


Louie Cardone-Noott

Alfonso Bueno-Orovio

Ana Mincholé

Kevin Burrage

Mikael Wallman

Chalmers, Kemi- och bioteknik, Livsvetenskaper, Systembiologi

Nejib Zemzemi

Erica Dall’Armellina

Blanca Rodriguez

Proceedings of the 41st Computing in Cardiology Conference, CinC 2014, Cambridge, United States, 7-10 September 2014

2325-8861 (ISSN)

Vol. 41 673-676



Annan medicin och hälsovetenskap


Grundläggande vetenskaper


Livsvetenskaper och teknik (2010-2018)



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