Lassila, T orcid.org/0000-0001-8947-1447, Lange, M, Porras Perez, AR et al. (4 more authors) (2016) Electrophysiology model for a human heart with ischemic scar and realistic Purkinje network. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). STACOM 2015, 09 Oct 2015, Munich, Germany. Springer Verlag , pp. 90-97. ISBN 9783319287119
Abstract
The role of Purkinje fibres in the onset of arrhythmias is controversial and computer simulations may shed light on possible arrhythmic mechanisms involving the Purkinje fibres. However, few computational modelling studies currently include a detailed Purkinje network as part of the model. We present a coupled Purkinje-myocardium electrophysiology model that includes an explicit model for the ischemic scar plus a detailed Purkinje network, and compare simulated activation times to those obtained by electro-anatomical mapping in vivo during sinus rhythm pacing. The results illustrate the importance of using sufficiently dense Purkinje networks in patient-specific studies to capture correctly the myocardial early activation that may be influenced by surviving Purkinje fibres in the infarct region.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing Switzerland 2016. This is a post-peer-review, pre-copyedit version of an article published in LNCS, volume 9534. The final authenticated version is available online at: https://doi.org/10.1007/978-3-319-28712-6_10. |
Keywords: | Purkinje Fibre; Left Ventricular Geometry; Ventricular Tachycardia; Radial Basis Function Interpolation; Scar Region |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 03 Jan 2019 15:01 |
Last Modified: | 03 Jan 2019 15:01 |
Status: | Published |
Publisher: | Springer Verlag |
Identification Number: | 10.1007/978-3-319-28712-6_10 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:137447 |