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Computational modelling of cardiac function and myocardial infarction

Includes abstract.

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Bibliographic Details
Main Author: MBewu, James
Other Authors: Reddy, B Daya
Format: Thesis
Language:English
Published: Department of Mathematics and Applied Mathematics 2015
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access_status_str Open Access
author MBewu, James
author2 Reddy, B Daya
author_browse MBewu, James
Reddy, B Daya
author_facet Reddy, B Daya
MBewu, James
author_sort MBewu, James
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/11611
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:34:06.076Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Mathematics and Applied Mathematics
publisherStr Department of Mathematics and Applied Mathematics
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11611 Computational modelling of cardiac function and myocardial infarction MBewu, James Reddy, B Daya Skatulla, Sebastian Mathematics and Applied Mathematics Includes abstract. Includes bibliographical references. Cardiovascular disease is a leading cause of death in South Africa. In particular non-fatal myocardial infarction is a key determinant for future cardiac failure due to adverse remodelling and electrophysiological dysfunction. Computational modelling of the electrophysiology and mechanics of the heart can provide useful insights into the causes of cardiac failure and the efficacy of treatments designed to combat myocardial infarction. A computational model of the healthy and infarcted left ventricle of a rat was developed using the eikonal diffusion equation to simulate the electrophysiology; a continuum mechanical model incorporating a passive mechanical model of Usyk to describe the nonlinear, anisotropic and nearly compressible nature of cardiac tissue; and an active stress model of Guccione to model the contraction of cardiac tissue. Boundary conditions modelling the blood pressure on the heart wall were applied to simulate the cardiac cycle. 2015-01-06T18:51:10Z 2015-01-06T18:51:10Z 2012 Master Thesis Masters MSc http://hdl.handle.net/11427/11611 eng application/pdf Department of Mathematics and Applied Mathematics Faculty of Science University of Cape Town
spellingShingle Mathematics and Applied Mathematics
MBewu, James
Computational modelling of cardiac function and myocardial infarction
thesis_degree_str Master's
title Computational modelling of cardiac function and myocardial infarction
title_full Computational modelling of cardiac function and myocardial infarction
title_fullStr Computational modelling of cardiac function and myocardial infarction
title_full_unstemmed Computational modelling of cardiac function and myocardial infarction
title_short Computational modelling of cardiac function and myocardial infarction
title_sort computational modelling of cardiac function and myocardial infarction
topic Mathematics and Applied Mathematics
url http://hdl.handle.net/11427/11611
work_keys_str_mv AT mbewujames computationalmodellingofcardiacfunctionandmyocardialinfarction