The Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation

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dc.catalogadorgjm
dc.contributor.authorSahli Costabal, Francisco
dc.contributor.authorBanduc, Tomás
dc.contributor.authorGander, Lia
dc.contributor.authorPezzuto, Simone
dc.date.accessioned2024-05-30T16:23:24Z
dc.date.available2024-05-30T16:23:24Z
dc.date.issued2023
dc.description.abstractWe propose a fast classifier that is able to predict atrial fibrillation inducibility in patient-specific cardiac models. Our classifier is general and it does not require re-training for new anatomies, fibrosis patterns, and ablation lines. This is achieved by training the classifier on a variant of the Heat Kernel Signature (HKS). Here, we introduce the “fibrotic kernel signature” (FKS), which extends the HKS by incorporating fibrosis information. The FKS is fast to compute, when compared to standard cardiac models like the monodomain equation. We tested the classifier on 9 combinations of ablation lines and fibrosis patterns. We achieved maximum balanced accuracies with the classifiers ranging from 75.8% to 95.8%, when tested on single points. The classifier is also able to predict very well the overall inducibility of the model. We think that our classifier can speed up the calculation of inducibility maps in a way that is crucial to create better personalized ablation treatments within the time constraints of the clinical setting.
dc.fuente.origenORCID
dc.identifier.doi10.1007/978-3-031-35302-4_9
dc.identifier.urihttps://doi.org/10.1007/978-3-031-35302-4_9
dc.identifier.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-85172738941&partnerID=MN8TOARS
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86072
dc.information.autorucEscuela de Ingeniería; Sahli Costabal, Francisco; S/I; 154857
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final96
dc.pagina.inicio87
dc.relation.ispartofLecture Notes in Computer Science
dc.rightsacceso restringido
dc.subjectHeat kernel signature
dc.subjectFibrotic Kernel Signature
dc.subjectAtrial Fibrillation
dc.subjectFibrosis
dc.subjectPatient-Specific Modeling
dc.subject.ddc600
dc.subject.deweyTecnologíaes_ES
dc.subject.ods03 Good health and well-being
dc.subject.odspa03 Salud y bienestar
dc.titleThe Fibrotic Kernel Signature: Simulation-Free Prediction of Atrial Fibrillation
dc.typecomunicación de congreso
dc.volumen13958
sipa.codpersvinculados154857
sipa.trazabilidadORCID;2024-05-27
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