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Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation

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Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation

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Molero-Alabau, R.; Soler Torro, JM.; Martínez Alzamora, MN.; Climent, AM.; Guillem Sánchez, MS. (2021). Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation. Computers in Biology and Medicine. 139:1-7. https://doi.org/10.1016/j.compbiomed.2021.104934

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183953

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Title: Higher reproducibility of phase derived metrics from electrocardiographic imaging during atrial fibrillation in patients remaining in sinus rhythm after pulmonary vein isolation
Author: Molero-Alabau, Rubén Soler Torro, Jose Manuel Martínez Alzamora, Mª Nieves Climent, Andreu M. Guillem Sánchez, María Salud
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Issued date:
Abstract:
[EN] Background: Electrocardiographic imaging (ECGI) allows evaluating the complexity of the reentrant activity of atrial fibrillation (AF) patients. In this study, we evaluated the ability of ECGI metrics to predict the ...[+]
Subjects: Atrial fibrillation , Electrocardiographic imaging , Reproducibility , Reentrant activity , Pulmonary vein isolation
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Computers in Biology and Medicine. (issn: 0010-4825 )
DOI: 10.1016/j.compbiomed.2021.104934
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.compbiomed.2021.104934
Project ID:
info:eu-repo/grantAgreement/MCIU//RYC2018-024346B-750/
info:eu-repo/grantAgreement/GVA//ACIF%2F2020%2F265/
info:eu-repo/grantAgreement/FEDER//EITHealth 19600 AFFINE/
info:eu-repo/grantAgreement/ISCIII//PI17%2F01106/
Thanks:
This work was supported by: Instituto de Salud Carlos III, and Ministerio de Ciencia, Innovacion y Universidades (supported by FEDER Fondo Europeo de Desarrollo Regional PI17/01106 and RYC2018- 024346B-750), EIT Health ...[+]
Type: Artículo

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