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Computational Studies of Calcium Dynamics in Cardiac Cells Using GPGPU

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dc.contributor.advisor Jafri, M. Saleet
dc.contributor.author Hoang-Trong, Tuan Minh
dc.creator Hoang-Trong, Tuan Minh en_US
dc.date.accessioned 2014-09-29T18:05:44Z
dc.date.available 2014-09-29T18:05:44Z
dc.date.issued 2014-08 en_US
dc.identifier.uri https://hdl.handle.net/1920/8974
dc.description.abstract Calcium release in the heart plays a central role regulating and linking the electrical excitation of the heart with contraction. The molecular and cellular processes that govern calcium release are stochastic in nature involving over 1,000,000 stochastic ion channels. This creates a highly computationally expensive problem that necessitated the creation of novel algorithms that exploited advanced computational architectures. The studies presented in this dissertation started with introducing a fast, high-memory efficiency algorithm to simulate stochastic gating of ion channels. The method was then implemented using the novel computing platform GPU which utilizes Compute Unified Device Architecture (CUDA) programming model, and to apply it in developing experimentally-based models of the rat ventricular myocytes. There are two levels of modelling were developed in this dissertation: the stochastic compartmental model that incorporate a mechanistic representation of the calcium-induced calcium-release (CICR) mechanism, and a stochastic temporal-spatial model that incorporate the spatial placement of all the calcium release units (CRU) in the myocyte. The presented work was used to answer specific scientific questions to the morphologies of ionic currents under heart failure (HF) condition, calcium alternans and the critical number of cells in order to trigger a spontaneous ectopic heart beat. Then, the spatial model was used to study the dynamic changes in calcium sparks under atrial fibrillation (AF) conditions. The integrated whole-cell temporal spatial model for the rat was used to study calcium waves, which do not occur during normal conditions, but are important as they can cause membrane depolarizations under certain conditions as the result of the life threatening cardiac arrhythmias.
dc.format.extent 278 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2014 Tuan Minh Hoang-Trong en_US
dc.subject Bioinformatics en_US
dc.subject Biostatistics en_US
dc.subject Computer science en_US
dc.subject calcium signaling en_US
dc.subject cardiac myocyte en_US
dc.subject CUDA en_US
dc.subject GPGPU en_US
dc.subject heart failure en_US
dc.subject stochastic modeling en_US
dc.title Computational Studies of Calcium Dynamics in Cardiac Cells Using GPGPU en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Bioinformatics and Computational Biology en
thesis.degree.grantor George Mason University en


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