The stationary wavelet transform as an efficient reductor of powerline interference for atrial bipolar electrograms in cardiac electrophysiology

dc.contributor.affiliationDepartamento de Ingeniería Electrónica
dc.contributor.affiliationEscuela Politécnica Superior de Gandia
dc.contributor.affiliationBiosignals & Minimally Invasive Technologies-BioMIT
dc.contributor.authorMartinez-Iniesta, Migueles_ES
dc.contributor.authorRÓDENAS, JUANes_ES
dc.contributor.authorRieta, J J
dc.contributor.authorAlcaraz, Raules_ES
dc.contributor.funderAgencia Estatal de Investigaciónes_ES
dc.contributor.funderConsejería de Educación, Cultura y Deportes, Junta de Comunidades de Castilla-La Manchaes_ES
dc.date.accessioned2020-12-22T04:32:56Z
dc.date.available2020-12-22T04:32:56Z
dc.date.issued2019-07es_ES
dc.description.abstract[EN] Objective :The most relevant source of signal contamination in the cardiac electrophysiology (EP) laboratory is the ubiquitous powerline interference (PLI). To reduce this perturbation, algorithms including common fixed-bandwidth and adaptive-notch filters have been proposed. Although such methods have proven to add artificial fractionation to intra-atrial electrograms (EGMs), they are still frequently used. However, such morphological alteration can conceal the accurate interpretation of EGMs, specially to evaluate the mechanisms supporting atrial fibrillation (AF), which is the most common cardiac arrhythmia. Given the clinical relevance of AF, a novel algorithm aimed at reducing PLI on highly contaminated bipolar EGMs and, simultaneously, preserving their morphology is proposed. Approach: The method is based on the wavelet shrinkage and has been validated through customized indices on a set of synthesized EGMs to accurately quantify the achieved level of PLI reduction and signal morphology alteration. Visual validation of the algorithm¿s performance has also been included for some real EGM excerpts. Main results: The method has outperformed common filtering-based and wavelet-based strategies in the analyzed scenario. Moreover, it possesses advantages such as insensitivity to amplitude and frequency variations in the PLI, and the capability of joint removal of several interferences. Significance: The use of this algorithm in routine cardiac EP studies may enable improved and truthful evaluation of AF mechanisms.en_EN
dc.description.accrualMethodSes_ES
dc.description.bibliographicCitationMartinez-Iniesta, M.; Ródenas, J.; Rieta, JJ.; Alcaraz, R. (2019). The stationary wavelet transform as an efficient reductor of powerline interference for atrial bipolar electrograms in cardiac electrophysiology. Physiological Measurement. 40(7):1-17. https://doi.org/10.1088/1361-6579/ab2cb8es_ES
dc.description.issue7es_ES
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dc.description.sponsorshipResearch supported by grants DPI2017-83952-C3 MINECO/AEI/FEDER, UE and SBPLY/17/180501/000411 from Junta de Comunidades de Castilla-La Mancha.es_ES
dc.description.upvformatpfin17es_ES
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dc.description.volume40es_ES
dc.identifier.doi10.1088/1361-6579/ab2cb8es_ES
dc.identifier.issn0967-3334es_ES
dc.identifier.pmid31239416es_ES
dc.identifier.urihttps://riunet.upv.es/handle/10251/157586
dc.languageIngléses_ES
dc.publisherIOP Publishinges_ES
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dc.relation.projectIDinfo: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.publisherversionhttps://doi.org/10.1088/1361-6579/ab2cb8es_ES
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dc.rightsReserva de todos los derechoses_ES
dc.rights.accessRightsAbiertoes_ES
dc.subjectAtrial fibrillationes_ES
dc.subjectElectrogrames_ES
dc.subjectPower line interferences_ES
dc.subjectStationary wavelet transformes_ES
dc.subject.classificationTECNOLOGIA ELECTRONICAes_ES
dc.titleThe stationary wavelet transform as an efficient reductor of powerline interference for atrial bipolar electrograms in cardiac electrophysiologyes_ES
dc.typeArtículoes_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
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