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dc.contributorShenasa, Mohammad
dc.contributorHindricks, Gerhard
dc.contributorBorggrefe, Martin
dc.contributorBreithardt, Günter
dc.contributorJosephson, Mark E.
dc.contributor.authorVirag, Nathalie
dc.contributor.authorJacquemet, Vincent
dc.contributor.authorKappenberger, Lukas
dc.date.accessioned2024-04-29T13:57:28Z
dc.date.availableNO_RESTRICTIONfr
dc.date.available2024-04-29T13:57:28Z
dc.date.issued2012-12-18
dc.identifier.urihttp://hdl.handle.net/1866/32998
dc.publisherWileyfr
dc.titleModeling of atrial fibrillationfr
dc.typeChapitre de livre / Book chapterfr
dc.contributor.affiliationUniversité de Montréal. Faculté de médecine. Département de pharmacologie et physiologiefr
dc.identifier.doi10.1002/9781118481585.ch14
dcterms.abstractComputer modeling of atrial fibrillation (AF) is considered today as a potentially effective tool for better understanding AF mechanisms and for the development of therapeutic options. Computer models are based on an integrative approach, from the molecule to the patient, incorporating data about cell electrophysiology, cell-to-cell coupling and atrial anatomy. The link to clinical experiments is provided by the computation of endocardial electrograms or surface electrocardiograms (ECG). In this chapter we describe how modeling can be used to study different forms of AF and to evaluate therapies such as antiarrhythmic drugs, ablation and antitachycardia pacing. The ultimate goal is the development of patient-specific models in order to test AF therapies in the model before applying it to the patient.fr
dcterms.isPartOfurn:ISBN:9780470670460fr
dcterms.isPartOfurn:ISBN:9781118481585fr
dcterms.isPartOfdoi:10.1002/9781118481585fr
dcterms.languageengfr
UdeM.ReferenceFournieParDeposanthttps://doi.org/10.1002/9781118481585.ch14fr
oaire.citationTitleCardiac mappingfr
oaire.citationEdition4fr


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