Cardone-Noott, L, Bueno-Orovio, A, Mincholé, A et al. (5 more authors) (2015) A computational investigation into the effect of infarction on clinical human electrophysiology biomarkers. In: Proceedings of CinC 2014. Computing in Cardiology (CinC) 2014, 07-10 Sep 2014, Cambridge, MA. , pp. 673-676. ISBN 978-1-4799-4346-3
Abstract
The electrocardiogram (ECG) is often used to diagnose myocardial infarction, but sensitivity and specificity are low. Here we present a computational framework for solving the bidomain equations over an image-based human 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 potential duration, and report that only the model with apicobasal 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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Biomarkers, Abstracts, Heart, Myocardium, Europe, Electrocardiography, Monitoring |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Aug 2019 13:46 |
Last Modified: | 22 Aug 2019 08:33 |
Published Version: | https://ieeexplore.ieee.org/document/7043132 |
Status: | Published |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149009 |