Holmes, M, Benson, AP orcid.org/0000-0003-4679-9842, Aslanidi, OV et al. (1 more author) (2019) Investigating Calcium-Mediated Arrhythmias via a Computational Model of a Rabbit Atrial Myocyte. In: Computing in Cardiology. 2018 Computing in Cardiology Conference (CinC), 23-26 Sep 2018, Maastricht, Netherlands. IEEE ISBN 9781728109589
Abstract
The system of transverse and longitudinal sarcolemmal tubules (T-system) is observed to remodel in atrial fibrillation (AF) and heart failure (HF). The resulting calcium dysregulation has been suggested to underlie disruptions in excitation-contraction coupling, and increase the frequency of arrhythmic events at the cellular scale; however, these mechanisms and their importance are yet to be fully described. A stochastic, 3D, spatiotemporal model of the rabbit atrial myocyte was developed in order to study calcium-mediated arrhythmic phenomena at the cellular scale. Preliminary findings suggest a relationship between the severity of detubulation, and the promotion of spontaneous activity, and provides insight into the conditions required for the emergence of spontaneous activity within atrial myocytes in HF.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2018, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Oct 2019 11:12 |
Last Modified: | 18 Oct 2019 11:12 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.22489/CinC.2018.188 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:152235 |