Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/34946
Title: | A simplified 2D heart model of the Wolff-Parkinson-White Syndrome |
Author(s): | Zeile, Clemens Scholz, Eberhard Sager, Sebastian |
Issue Date: | 2020 |
Extent: | 1 Online-Ressource (6 Seiten, 337,46 kB) |
Type: | Article |
Language: | English |
Publisher: | Elsevier Ltd., Frankfurt/M. |
URN: | urn:nbn:de:gbv:ma9:1-1981185920-351462 |
Subjects: | Medical systems Electrical signal propagation Cardiac arrhythmias Wolff-Parkinson-White syndrome |
Abstract: | The enormous progress made in computational cardiac electrophysiology during the past decades has resulted in a diverse range of models and numerical methods. In general, researchers have elaborated highly complex and detailed simulators on the cell and tissue level. In contrast, there has been a lack of simplified whole-heart models that study specific heart arrhythmias. In this study, we approximate the electrophysiology of Wolff-Parkinson-White Syndrome with such a model. In order to reproduce the cardiac anomaly, we apply the so-called bidomain approach involving partial differential equations. Results show that the simulations are realistic, both in ECG generation and electric activation sequence. Our assessment of the model implementation takes into account parameter and geometry variation, which supports a realistic view of medical aspects. Our in silico analysis thus helps provide clear insights into the mechanisms of arrhythmias and associated ECG changes. |
URI: | https://opendata.uni-halle.de//handle/1981185920/35146 http://dx.doi.org/10.25673/34946 |
Open Access: | Open access publication |
License: | https://creativecommons.org/licenses/by-nd-nc/4.0/ |
Journal Title: | IFAC-PapersOnLine |
Publisher: | Elsevier |
Publisher Place: | Frankfurt/M. |
Volume: | 49 |
Issue: | 26 |
Original Publication: | 10.1016/j.ifacol.2016.12.098 |
Page Start: | 026 |
Page End: | 031 |
Appears in Collections: | Fakultät für Mathematik (OA) |
Files in This Item:
File | Description | Size | Format | |
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Sager_et al._IFACPapers online_2020-1.html | Zweitveröffentlichung | 337.46 kB | HTML | View/Open |