Computational modelling of cardiac function and myocardial infarction

 

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dc.contributor.advisor Reddy, B Daya en_ZA
dc.contributor.advisor Skatulla, Sebastian en_ZA
dc.contributor.author MBewu, James en_ZA
dc.date.accessioned 2015-01-06T18:51:10Z
dc.date.available 2015-01-06T18:51:10Z
dc.date.issued 2012 en_ZA
dc.identifier.citation MBewu, J. 2012. Computational modelling of cardiac function and myocardial infarction. University of Cape Town. en_ZA
dc.identifier.uri http://hdl.handle.net/11427/11611
dc.description Includes abstract. en_ZA
dc.description Includes bibliographical references. en_ZA
dc.description.abstract 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. en_ZA
dc.language.iso eng en_ZA
dc.subject.other Mathematics and Applied Mathematics en_ZA
dc.title Computational modelling of cardiac function and myocardial infarction en_ZA
dc.type Master Thesis
uct.type.publication Research en_ZA
uct.type.resource Thesis en_ZA
dc.publisher.institution University of Cape Town
dc.publisher.faculty Faculty of Science en_ZA
dc.publisher.department Department of Mathematics and Applied Mathematics en_ZA
dc.type.qualificationlevel Masters
dc.type.qualificationname MSc en_ZA
uct.type.filetype Text
uct.type.filetype Image
dc.identifier.apacitation MBewu, J. (2012). <i>Computational modelling of cardiac function and myocardial infarction</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics. Retrieved from http://hdl.handle.net/11427/11611 en_ZA
dc.identifier.chicagocitation MBewu, James. <i>"Computational modelling of cardiac function and myocardial infarction."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 2012. http://hdl.handle.net/11427/11611 en_ZA
dc.identifier.vancouvercitation MBewu J. Computational modelling of cardiac function and myocardial infarction. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Mathematics and Applied Mathematics, 2012 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11611 en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - MBewu, James AB - 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. DA - 2012 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2012 T1 - Computational modelling of cardiac function and myocardial infarction TI - Computational modelling of cardiac function and myocardial infarction UR - http://hdl.handle.net/11427/11611 ER - en_ZA


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