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Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG

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Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG

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dc.contributor.author Alcaraz, Raul es_ES
dc.contributor.author SORNMO, LEIF es_ES
dc.contributor.author Rieta, J J es_ES
dc.date.accessioned 2020-12-22T04:32:39Z
dc.date.available 2020-12-22T04:32:39Z
dc.date.issued 2019-07 es_ES
dc.identifier.issn 0967-3334 es_ES
dc.identifier.uri http://hdl.handle.net/10251/157582
dc.description.abstract [EN] Objective: This study proposes a reference database, composed of a large number of simulated ECG signals in atrial fibrillation (AF), for investigating the performance of methods for extraction of atrial fibrillatory waves (f -waves). Approach: The simulated signals are produced using a recently published and validated model of 12-lead ECGs in AF. The database is composed of eight signal sets together accounting for a wide range of characteristics known to represent major challenges in f -wave extraction, including high heart rates, high morphological QRST variability, and the presence of ventricular premature beats. Each set contains 30 5 min signals with different f -wave amplitudes. The database is used for the purpose of investigating the statistical association between different indices, designed for use with either real or simulated signals. Main results: Using the database, available at the PhysioNet repository of physiological signals, the performance indices unnormalized ventricular residue (uVR), designed for real signals, and the root mean square error, designed for simulated signals, were found to exhibit the strongest association, leading to the recommendation that uVR should be used when characterizing performance in real signals. Significance: The proposed database facilitates comparison of the performance of different f -wave extraction methods and makes it possible to express performance in terms of the error between simulated and extracted f -wave signals. es_ES
dc.description.sponsorship This work was supported by project DPI2017-83952-C3 of the Spanish Ministry of Economy, Industry and Competitiveness, project SBPLY/17/180501/000411 of the Junta de Comunidades de Castilla-La Mancha, Grant 'Jose Castillejo' (CAS17/00436) from the Spanish Ministry of Education, Culture and Sport, Grant No. BEST/2017/028 from the Education, Research, Culture and Sports Department of Generalitat Valenciana, European Regional Development Fund, and Grant No. 03382/2016 from the Swedish Research Council. es_ES
dc.language Inglés es_ES
dc.publisher IOP Publishing es_ES
dc.relation Consejería de Educación, Cultura y Deportes de la Junta de Comunidades de Castilla-La Mancha/SBPLY/17/180501/000411 es_ES
dc.relation MECD/CAS17/00436 es_ES
dc.relation GV/BEST/2017/028 es_ES
dc.relation VR/03382/2016 es_ES
dc.relation info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/DPI2017-83952-C3-1-R/ES/ESTUDIO MULTICENTRICO PARA LA EVALUACION DEL SUSTRATO ARRITMOGENICO EN PACIENTES CON FIBRILACION AURICULAR. APLICACION A LA ABLACION POR CATETER/ es_ES
dc.relation.ispartof Physiological Measurement es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Fibrillatory wave extraction es_ES
dc.subject Reference ECG database es_ES
dc.subject Performance evaluation es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1088/1361-6579/ab2b17 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 Alcaraz, R.; Sornmo, L.; Rieta, JJ. (2019). Reference database and performance evaluation of methods for extraction of atrial fibrillatory waves in the ECG. Physiological Measurement. 40(7):1-11. https://doi.org/10.1088/1361-6579/ab2b17 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1088/1361-6579/ab2b17 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 11 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 40 es_ES
dc.description.issue 7 es_ES
dc.identifier.pmid 31216525 es_ES
dc.relation.pasarela S\411762 es_ES
dc.contributor.funder Swedish Research Council es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.contributor.funder Consejería de Educación, Cultura y Deportes, Junta de Comunidades de Castilla-La Mancha es_ES


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