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An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation

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An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation

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dc.contributor.author Osorio, Diego es_ES
dc.contributor.author Vraka, Aikaterini es_ES
dc.contributor.author Quesada, Aurelio es_ES
dc.contributor.author Hornero, Fernando es_ES
dc.contributor.author Alcaraz, Raúl es_ES
dc.contributor.author Rieta, J J es_ES
dc.date.accessioned 2023-05-11T18:01:52Z
dc.date.available 2023-05-11T18:01:52Z
dc.date.issued 2022-07 es_ES
dc.identifier.uri http://hdl.handle.net/10251/193267
dc.description.abstract [EN] Local activation waves (LAWs) detection in complex fractionated atrial electrograms (CFAEs) during catheter ablation (CA) of atrial fibrillation (AF), the commonest cardiac arrhythmia, is a complicated task due to their extreme variability and heterogeneity in amplitude and morphology. There are few published works on reliable LAWs detectors, which are efficient for regular or low fractionated bipolar electrograms (EGMs) but lack satisfactory results when CFAEs are analyzed. The aim of the present work is the development of a novel optimized method for LAWs detection in CFAEs in order to assist cardiac mapping and catheter ablation (CA) guidance. The database consists of 119 bipolar EGMs classified by AF types according to Wells' classification. The proposed method introduces an alternative Botteron's preprocessing technique targeting the slow and small-ampitude activations. The lower band-pass filter cut-off frequency is modified to 20 Hz, and a hyperbolic tangent function is applied over CFAEs. Detection is firstly performed through an amplitude-based threshold and an escalating cycle-length (CL) analysis. Activation time is calculated at each LAW's barycenter. Analysis is applied in five-second overlapping segments. LAWs were manually annotated by two experts and compared with algorithm-annotated LAWs. AF types I and II showed 100% accuracy and sensitivity. AF type III showed 92.77% accuracy and 95.30% sensitivity. The results of this study highlight the efficiency of the developed method in precisely detecting LAWs in CFAEs. Hence, it could be implemented on real-time mapping devices and used during CA, providing robust detection results regardless of the fractionation degree of the analyzed recordings. es_ES
dc.description.sponsorship This research has received partial financial support from public grants DPI2017-83952-C3, PID2021-00X128525-IV0 and PID2021-123804OB-I00 of the Spanish Government 10.13039/501100011033 jointly with the European Regional Development Fund (EU), SBPLY/17/180501/000411 from Junta de Comunidades de Castilla-La Mancha and AICO/2021/286 from Generalitat Valenciana. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Atrial fibrillation es_ES
dc.subject Electrogram es_ES
dc.subject Complex fractionated atrial electrograms es_ES
dc.subject Local activation waves es_ES
dc.subject Detection es_ES
dc.subject Invasive recordings es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s22145345 es_ES
dc.relation.projectID 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.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2021%2F286//Inteligencia Artificial para Revolucionar la Medicina Móvil Usando Dispositivos Llevables/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-123804OB-I00//INTELIGENCIA ARTIFICIAL PARA LA MEDICINA MÓVIL INNOVADORA EN ENFERMEDADES CARDIOVASCULARES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/JCCM//SBPLY%2F17%2F180501%2F000411//Caracterización del sustrato auricular mediante análisis de señal como herramienta de asistencia procedimental en ablación por catéter de fibrilación auricular/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PID2021-00X128525-IV0/ 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.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.description.bibliographicCitation Osorio, D.; Vraka, A.; Quesada, A.; Hornero, F.; Alcaraz, R.; Rieta, JJ. (2022). An Efficient Hybrid Methodology for Local Activation Waves Detection under Complex Fractionated Atrial Electrograms of Atrial Fibrillation. Sensors. 22(14):1-12. https://doi.org/10.3390/s22145345 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s22145345 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 12 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 22 es_ES
dc.description.issue 14 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 35891025 es_ES
dc.identifier.pmcid PMC9316244 es_ES
dc.relation.pasarela S\491203 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Junta de Comunidades de Castilla-La Mancha es_ES


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