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Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation

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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.authorRíos Muñoz, Gonzalo Ricardo
dc.contributor.authorArtés Rodríguez, Antonio
dc.contributor.authorMíguez Arenas, Joaquín
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-05-17T10:32:42Z
dc.date.available2022-05-17T10:32:42Z
dc.date.issued2019-06-24
dc.descriptionProceeding of 2018 Computing in Cardiology Conference (CinC), September 23-26, 2018, Maastricht, The Netherlandsen
dc.description.abstractA high dimensional tracking system based on the FithzHugh-Nagumo (FH-N) equations emulating the biological excitation and propagation dynamics of the action potential across cardiac cells is proposed. The modified FH-N model tracks the electric cardiac wavefronts on a tissue, emulating an approximated atrial fibrillation scenario. Bayesian tracking is achieved with two particle filter (PF) schemes: a sequential Auxiliary PF (APF) and a parallelized method, Independent APF (IAPF). The numerical results of the two examples, involving both estimation errors and running times, provide numerical evidence that support the theoretical findings.en
dc.description.sponsorshipThis work has been partly supported by MINECO/FEDER (ADVENTURE, id. TEC2015-69868-C2-1-R), and Comunidad de Madrid (project CASI-CAM-CM, id. S2013/ICE-2845).en
dc.description.statusPublicadoes
dc.format.extent4
dc.identifier.bibliographicCitation2018 Computing in Cardiology Conference (CinC 2018), Maastricht, Netherlands, 23-26 September, 2018, v.45. Estados Unidos: IEEE.en
dc.identifier.doihttps://doi.org/10.22489/CinC.2018.233
dc.identifier.isbn978-1-7281-0924-4 Print on Demand (PoD)
dc.identifier.isbn978-1-7281-0958-9 (online)
dc.identifier.issn2325-8861 Print on Demand (PoD)
dc.identifier.issn2325-887X (online)
dc.identifier.publicationtitle2018 Computing in Cardiology Conference (CinC 2018), Maastricht, Netherlands, 23-26 September, 2018.en
dc.identifier.publicationvolume45
dc.identifier.urihttps://hdl.handle.net/10016/34823
dc.identifier.uxxiCC/0000033339
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdateSeptember 23-26, 2018en
dc.relation.eventplaceMaastricht, Países Bajosen
dc.relation.eventtitle2018 Computing in Cardiology Conference (CinC 2018)en
dc.relation.projectIDGobierno de España. TEC2015-69868-C2-1-R/ADVENTUREes
dc.relation.projectIDComunidad de Madrid. S2013/ICE-2845es
dc.rights© 2018, IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherMathematical modelen
dc.subject.otherAction potentialsen
dc.subject.otherComputational modelingen
dc.subject.otherBayes methodsen
dc.subject.otherAdaptation modelsen
dc.subject.otherMarkov processesen
dc.titleParticle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagationen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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