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

Louie Cardone-Noott ; Alfonso Bueno-Orovio ; Ana Mincholé ; Kevin Burrage ; Mikael Wallman (Institutionen för kemi- och bioteknik, 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). Vol. 41 (2014), p. 673-676.
[Konferensbidrag, refereegranskat]

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.



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Denna post skapades 2015-01-14. Senast ändrad 2015-07-07.
CPL Pubid: 210771

 

Institutioner (Chalmers)

Institutionen för kemi- och bioteknik, Systembiologi (2008-2014)

Ämnesområden

Livsvetenskaper
Tillämpad matematik
Annan medicin och hälsovetenskap

Chalmers infrastruktur