Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.25673/34946
Titel: A simplified 2D heart model of the Wolff-Parkinson-White Syndrome
Autor(en): Zeile, Clemens
Scholz, Eberhard
Sager, SebastianIn der Gemeinsamen Normdatei der DNB nachschlagen
Erscheinungsdatum: 2020
Umfang: 1 Online-Ressource (6 Seiten, 337,46 kB)
Art: Artikel
Sprache: Englisch
Herausgeber: Elsevier Ltd., Frankfurt/M.
URN: urn:nbn:de:gbv:ma9:1-1981185920-351462
Schlagwörter: Medical systems
Electrical signal propagation
Cardiac arrhythmias
Wolff-Parkinson-White syndrome
Zusammenfassung: 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-Publikation
Nutzungslizenz: https://creativecommons.org/licenses/by-nd-nc/4.0/https://creativecommons.org/licenses/by-nd-nc/4.0/
Journal Titel: IFAC-PapersOnLine
Verlag: Elsevier
Verlagsort: Frankfurt/M.
Band: 49
Heft: 26
Originalveröffentlichung: 10.1016/j.ifacol.2016.12.098
Seitenanfang: 026
Seitenende: 031
Enthalten in den Sammlungen:Fakultät für Mathematik (OA)

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
Sager_et al._IFACPapers online_2020-1.htmlZweitveröffentlichung337.46 kBHTMLÖffnen/Anzeigen