Mostrar el registro sencillo del ítem
dc.contributor.author | Costoya-Sánchez, Alejandro | es_ES |
dc.contributor.author | Climent, Andreu M. | es_ES |
dc.contributor.author | Hernández-Romero, Ismael | es_ES |
dc.contributor.author | Liberos, Alejandro | es_ES |
dc.contributor.author | Fernández-Avilés, Francisco | es_ES |
dc.contributor.author | Narayan, Sanjiv M. | es_ES |
dc.contributor.author | Atienza, Felipe | es_ES |
dc.contributor.author | Guillem Sánchez, María Salud | es_ES |
dc.contributor.author | Rodrigo, Miguel | es_ES |
dc.date.accessioned | 2022-03-09T08:04:00Z | |
dc.date.available | 2022-03-09T08:04:00Z | |
dc.date.issued | 2019-09-11 | es_ES |
dc.identifier.isbn | 978-1-7281-6936-1 | es_ES |
dc.identifier.issn | 2325-887X | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/181326 | |
dc.description.abstract | [EN] Location of reentrant electrical activity responsible for driving atrial fibrillation (AF) is key to ablative therapies. The aim of this work is to study the effect of the quality of the electrograms (EGMs) used for 3D phase analysis on reentrant activity identification, as well as to develop an algorithm capable of automatically identifying lowquality signals. EGMs signals from 259 episodes obtained from 29 AF patients were recorded using 64-electrode basket catheters. Low-quality EGMs were manually identified. Reentrant activity was identified in 3D phase maps and provided an area under the ROC curve (AUC) of 0.69 when compared to a 2D activation-based method. Reentries located in regions with poor-quality EGMs were then removed, increasing the AUC to 0.80. The EGM classification algorithm showed a similar performance both for low-quality EGM identification (sensitivity 0.91 and specificity 0.80) and for reentrant activity location with 3D phase analysis (AUC 0.80). Discard of reentrant activity identified in regions where EGMs showed low quality significantly improved the specificity of the 3D phase analysis. Besides, EGMs classification according to their quality proved to be possible using time and spectral domain parameters. | es_ES |
dc.description.sponsorship | This work was supported by the Instituto de Salud Carlos III FEDER (DTS16/00160; PI16/01123; PI17/01059; PI17/01106), the EIT-Health 19600 AFFINE and the Valencian Regional Government (AICO2018). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | IEEE | es_ES |
dc.relation.ispartof | 2019 Computing in Cardiology (CinC). Proceedings | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.title | Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Artículo | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.22489/CinC.2019.349 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//DTS16%2F00160/ES/Guiado en Tiempo Real de la Ablación de la Fibrilación Auricular mediante Cartografía Eléctrica Global (CORIFY)/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/GVA//AICO%2F2018/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//PI16%2F01123/ES/Regeneración Cardiaca de Infarto Crónico Porcino mediante Inyecciónes Intramiocardiacas de Células Progenitoras Embebidas en Hidrogeles de Matriz Decelularizada/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ISCIII//PI17%2F01059/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ISCIII//PI17%2F01106/ | es_ES |
dc.rights.accessRights | Cerrado | es_ES |
dc.description.bibliographicCitation | Costoya-Sánchez, A.; Climent, AM.; Hernández-Romero, I.; Liberos, A.; Fernández-Avilés, F.; Narayan, SM.; Atienza, F.... (2019). Automatic Quality Electrogram Assessment Improves Reentrant Activity Identification in Atrial Fibrillation. IEEE. 1-4. https://doi.org/10.22489/CinC.2019.349 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 46th Computing in Cardiology Conference (CinC 2019) | es_ES |
dc.relation.conferencedate | Septiembre 08-11,2019 | es_ES |
dc.relation.conferenceplace | Singapore | es_ES |
dc.relation.publisherversion | https://doi.org/10.22489/CinC.2019.349 | 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\409209 | es_ES |
dc.contributor.funder | EIT Health | es_ES |
dc.contributor.funder | Generalitat Valenciana | es_ES |
dc.contributor.funder | Instituto de Salud Carlos III | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad | es_ES |