Computational modelling of cardiac function and myocardial infarction

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dc.contributor.advisorReddy, B Dayaen_ZA
dc.contributor.advisorSkatulla, Sebastianen_ZA
dc.contributor.authorMBewu, Jamesen_ZA
dc.date.accessioned2015-01-06T18:51:10Z
dc.date.available2015-01-06T18:51:10Z
dc.date.issued2012en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.descriptionIncludes bibliographical references.en_ZA
dc.description.abstractCardiovascular 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.identifier.apacitationMBewu, 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/11427/11611en_ZA
dc.identifier.chicagocitationMBewu, 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/11427/11611en_ZA
dc.identifier.citationMBewu, J. 2012. Computational modelling of cardiac function and myocardial infarction. University of Cape Town.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
dc.identifier.urihttp://hdl.handle.net/11427/11611
dc.identifier.vancouvercitationMBewu 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/11427/11611en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Mathematics and Applied Mathematicsen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherMathematics and Applied Mathematicsen_ZA
dc.titleComputational modelling of cardiac function and myocardial infarctionen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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