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dc.contributor.authorSchilling, Christopher*
dc.date.accessioned2021-02-11T08:09:57Z
dc.date.available2021-02-11T08:09:57Z
dc.date.issued2012*
dc.date.submitted2019-07-30 20:01:58*
dc.identifier34716*
dc.identifier.issn18645933*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/40818
dc.description.abstractThis work provides methods to measure and analyze features of atrial electrograms - especially complex fractionated atrial electrograms (CFAEs) - mathematically. Automated classification of CFAEs into clinical meaningful classes is applied and the newly gained electrogram information is visualized on patient specific 3D models of the atria. Clinical applications of the presented methods showed that quantitative measures of CFAEs reveal beneficial information about the underlying arrhythmia.*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineering / Ed.: Karlsruhe Institute of Technology / Institute of Biomedical Engineering*
dc.subjectT1-995*
dc.subject.otherClassification*
dc.subject.otherCatheter Ablation*
dc.subject.otherComplex Fractionated Atrial Electrograms*
dc.subject.otherAtrial Fibrillation*
dc.subject.otherSignal Processing*
dc.titleAnalysis of Atrial Electrograms*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000029058*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
virtual.oapen_relation_isPublishedBy.publisher_nameKIT Scientific Publishing
virtual.oapen_relation_isPublishedBy.publisher_websitehttp://www.ksp.kit.edu/
oapen.relation.isbn9783866448940*
oapen.pagesVI, 214 p.*
oapen.volume17*


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Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/