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Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation

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Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation

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dc.contributor.author Azzolin, Luca es_ES
dc.contributor.author Luongo, Giorgio es_ES
dc.contributor.author Rocher-Ventura, Sara es_ES
dc.contributor.author Saiz Rodríguez, Francisco Javier es_ES
dc.contributor.author Dossel, Olaf es_ES
dc.contributor.author Loewe, Axel es_ES
dc.date.accessioned 2022-01-18T08:13:13Z
dc.date.available 2022-01-18T08:13:13Z
dc.date.issued 2020-09-16 es_ES
dc.identifier.issn 2325-887X es_ES
dc.identifier.uri http://hdl.handle.net/10251/179854
dc.description.abstract [EN] This work uses a highly detailed computational model of human atria to investigate the effect of spatial gradient and smoothing of atrial wall thickness on inducibility and maintenance of atrial fibrillation (AF) episodes. An atrial model with homogeneous thickness (HO) was used as baseline for the generation of different atrial models including either a low (LG) or high thickness gradient between left/right atrial free wall and the other regions. Since the model with high spatial gradient presented non-natural sharp edges between regions, either 1 (HG1) or 2 (HG2) Laplacian smoothing iterations were applied. Arrhythmic episodes were initiated using a rapid pacing protocol and long-living rotors were detected and tracked over time. Thresholds optimised with receiver operating characteristic analysis were used to define high gradient/curvature regions. Greater spatial gradients increased the atrial model inducibility and unveiled additional regions vulnerable to maintain AF drivers. In the models with heterogeneous wall thickness (LG, HG2 and HG1), 73.5 ± 8.7% of the long living rotors were found in areas within 1.5 mm from nodes with high thickness gradient, and 85.0 ± 3.4% in areas around high endocardial curvature. These findings promote wall thickness gradient and endocardial curvature as measures of AF vulnerability es_ES
dc.description.sponsorship Research supported by the European Union¿s Horizon 2020 research and innovation programme under the Marie Sk¿odowska-Curie grant agreement No.766082 (MY-ATRIA project) es_ES
dc.language Inglés es_ES
dc.publisher IEEE es_ES
dc.relation.ispartof CinC 2020: Program. Computing in Cardiology, vol. 47 es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.22489/CinC.2020.261 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/766082/EU/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement///ACIF%2F2018%2F174//AYUDA PREDOCTORAL GVA-ROCHER VENTURA. PROYECTO: DESARROLLO DE MODELOS COMPUTACIONALES 3D PERSONALIZADOS DE AURICULA PARA LA OPTIMIZACION DEL TRATAMIENTO DE LA FIBRILACION AURICULAR./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Azzolin, L.; Luongo, G.; Rocher-Ventura, S.; Saiz Rodríguez, FJ.; Dossel, O.; Loewe, A. (2020). Influence of Gradient and Smoothness of Atrial Wall Thickness on Initiation and Maintenance of Atrial Fibrillation. IEEE. 1-4. https://doi.org/10.22489/CinC.2020.261 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 47th Computing in Cardiology Conference (CinC 2020) es_ES
dc.relation.conferencedate Septiembre 13-16,2020 es_ES
dc.relation.conferenceplace Rimini, Italia es_ES
dc.relation.publisherversion https://doi.org/10.22489/CinC.2020.261 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 4 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\428834 es_ES
dc.contributor.funder European Commission es_ES


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