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Causality analysis of atrial fibrillation electrograms

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)es
dc.contributor.authorLuengo García, David
dc.contributor.authorRíos Muñoz, Gonzalo Ricardo
dc.contributor.authorElvira Arregui, Víctor
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-05-16T14:06:44Z
dc.date.available2022-05-16T14:06:44Z
dc.date.issued2015-09-06
dc.descriptionProceeding of 2015 Computing in Cardiology Conference (CinC 2015), September 6-9, 2015, Nice, France
dc.description.abstractMulti-channel intracardiac electrocardiograms (electrograms) are sequentially acquired during heart surgery performed on patients with sustained atrial fibrillation (AF) to guide radio frequency catheter ablation. These electrograms are used by cardiologists to determine candidate areas for ablation (e.g., areas corresponding to high dominant frequencies or complex electrograms). In this paper, we introduce a novel hierarchical causality analysis method for the multi-output sequentially acquired electrograms. The causal model obtained provides important information regarding delays among signals as well as the direction and strength of their causal connections. The tool developed may ultimately serve to guide cardiologists towards candidate areas for catheter ablation. Preliminary results on synthetic signals are used to validate the proposed approach.en
dc.description.sponsorshipThis work has been supported by the Spanish government’s projects ALCIT (TEC2012-38800-C03-01), AGES (S2010/BMD-2422), and OTOSiS (TEC2013-41718-R), and COMPREHENSION (TEC2012-38883-C02-01). D. Luengo has also been funded by the BBVA Foundation’s “I Convocatoria de Ayudas Fundación BBVA a Investigadores, Innovadores y Creadores Culturales”.en
dc.description.statusPublicadoes
dc.format.extent4
dc.identifier.bibliographicCitation2015 Computing in Cardiology Conference (CinC 2015), September 6-9, 2015, Nice, France (pp. 585-588.) Estados Unidos: IEEE.en
dc.identifier.doihttps://doi.org/10.1109/CIC.2015.7410978
dc.identifier.isbn978-1-5090-0684-7 (online)
dc.identifier.isbn978-1-5090-0685-4 (print)
dc.identifier.issn2325-887X-3 (online)
dc.identifier.issn2325-8861-2 (print)
dc.identifier.publicationfirstpage585
dc.identifier.publicationlastpage588
dc.identifier.publicationtitle2015 Computing in Cardiology Conference (CinC), September 6-9, 2015, Nice, Franceen
dc.identifier.urihttps://hdl.handle.net/10016/34814
dc.identifier.uxxiCC/0000033183
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdateSeptember 6-9,2015en
dc.relation.eventplaceNiza, Franciaes
dc.relation.eventtitleComputing in Cardiology (CinC 2015), 42nd Annual Conference, 6-9 September, 2015en
dc.relation.projectIDGobierno de España. TEC2012-38800-C03-01/ALCITes
dc.relation.projectIDGobierno de España. S2010/BMD-2422/AGESes
dc.relation.projectIDGobierno de España. TEC2013-41718-R/OTOSiSes
dc.relation.projectIDGobierno de España. TEC2012-38883-C02-01/COMPREHENSIONes
dc.rights©2015 IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.otherSiliconen
dc.subject.otherReactive poweren
dc.subject.otherCathetersen
dc.subject.otherHearten
dc.subject.otherStandardsen
dc.subject.otherSensorsen
dc.subject.otherRotorsen
dc.titleCausality analysis of atrial fibrillation electrogramsen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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