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Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation

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Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation

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dc.contributor.author Alcaraz, Raul es_ES
dc.contributor.author Hornero, Fernando es_ES
dc.contributor.author Martinez, Arturo es_ES
dc.contributor.author Rieta, J J es_ES
dc.date.accessioned 2014-12-04T17:57:44Z
dc.date.available 2014-12-04T17:57:44Z
dc.date.issued 2012-06
dc.identifier.issn 0967-3334
dc.identifier.uri http://hdl.handle.net/10251/45191
dc.description.abstract This paper proposes the first non-invasive method for direct and short-time regularity quantification of atrial fibrillatory (f) waves from the surface ECG in atrial fibrillation (AF). Regularity is estimated by computing individual morphological variations among f waves, which are delineated and extracted from the atrial activity (AA) signal, making use of an adaptive signed correlation index. The algorithm was tested on real AF surface recordings in order to discriminate atrial signals with different organization degrees, providing a notably higher global accuracy (90.3%) than the two non-invasive AF organization estimates defined to date: the dominant atrial frequency (70.5%) and sample entropy (76.1%). Furthermore, due to its ability to assess AA regularity wave to wave, the proposed method is also able to pursue AF organization time course more precisely than the aforementioned indices. As a consequence, this work opens a new perspective in the non-invasive analysis of AF, such as the individualized study of each f wave, that could improve the understanding of AF mechanisms and become useful for its clinical treatment. es_ES
dc.description.sponsorship The authors are grateful to Drs Javier Vinas, Elio Martin and Alejandro Vazquez for their contribution to classify blindly the AF episodes used in this work. This work was supported by the projects TEC2010-20633 from the Spanish Ministry of Science and Innovation and PPII11-0194-8121 and PII1C09-0036-3237 from Junta de Comunidades de Castilla-La Mancha. en_EN
dc.language Inglés es_ES
dc.publisher IOP Publishing: Hybrid Open Access 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 ECG es_ES
dc.subject Fibrillatory wave regularity es_ES
dc.subject Signal processing es_ES
dc.subject Waveform morphology es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.title Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1088/0967-3334/33/6/969
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//TEC2010-20633/ES/DESARROLLO Y APLICACION DE ESTIMADORES AVANZADOS DE ORGANIZACION PARA LA CLASIFICACION TERAPEUTICA Y EL SEGUIMIENTO DE PACIENTES CON FIBRILACION AURICULAR/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Comunidades de Castilla-La Mancha//PII1C09-0036-3237/ES/Predicción De Riesgo De Muerte Súbita Tras Infarto De Miocardio Mediante Técnicas Avanzadas De Procesado Digital De Señal/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/Junta de Comunidades de Castilla-La Mancha//PPII11-0194-8121]/ES/PPII11-0194-8121]/ es_ES
dc.rights.accessRights Cerrado 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. Grupo de ingeniería en bioseñales e imagen radiológica es_ES
dc.description.bibliographicCitation Alcaraz, R.; Hornero, F.; Martinez, A.; Rieta, JJ. (2012). Short-time regularity assessment of fibrillatory waves from the surface ECG in atrial fibrillation. Physiological Measurement. 33(6):969-984. https://doi.org/10.1088/0967-3334/33/6/969 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1088/0967-3334/33/6/969 es_ES
dc.description.upvformatpinicio 969 es_ES
dc.description.upvformatpfin 984 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 33 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 239033
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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