Real-time rotational activity detection in atrial fibrillation

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dc.contributor.author Ríos Muñoz, Gonzalo Ricardo
dc.contributor.author Arenal, Ángel
dc.contributor.author Artés Rodríguez, Antonio
dc.date.accessioned 2022-02-16T08:51:39Z
dc.date.available 2022-02-16T08:51:39Z
dc.date.issued 2018-03
dc.identifier.bibliographicCitation Ríos-Muñoz, G. R., Arenal, N. & Artés-Rodríguez, A. (2018). Real-Time Rotational Activity Detection in Atrial Fibrillation. Frontiers in Physiology, 9:208.
dc.identifier.issn 1664-042X
dc.identifier.uri http://hdl.handle.net/10016/34131
dc.description Corrigendum: Real-Time Rotational Activity Detection in Atrial Fibrillation, Frontiers in Physiology., 04 September 2018. https://doi.org/10.3389/fphys.2018.01260
dc.description.abstract Rotational activations, or spiral waves, are one of the proposed mechanisms for atrial fibrillation (AF) maintenance. We present a system for assessing the presence of rotational activity from intracardiac electrograms (EGMs). Our system is able to operate in real-time with multi-electrode catheters of different topologies in contact with the atrial wall, and it is based on new local activation time (LAT) estimation and rotational activity detection methods. The EGM LAT estimation method is based on the identification of the highest sustained negative slope of unipolar signals. The method is implemented as a linear filter whose output is interpolated on a regular grid to match any catheter topology. Its operation is illustrated on selected signals and compared to the classical Hilbert-Transform-based phase analysis. After the estimation of the LAT on the regular grid, the detection of rotational activity in the atrium is done by a novel method based on the optical flow of the wavefront dynamics, and a rotation pattern match. The methods have been validated using in silico and real AF signals.
dc.description.sponsorship This work has been partly supported by MINECO/FEDER (ADVENTURE, id. TEC2015-69868-C2-1-R), Comunidad de Madrid (project CASI-CAM-CM, id. S2013/ICE-2845), and the grant Beca de la Sección de Electrofisiología y Arritmias de la SEC.
dc.format.extent 17
dc.language.iso eng
dc.publisher Frontiers Media
dc.relation.ispartof https://doi.org/10.3389/fphys.2018.01260
dc.rights © 2018 Ríos-Muñoz, Arenal and Artés-Rodríguez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.rights Atribución 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by/3.0/es/
dc.subject.other Atrial fibrillation
dc.subject.other Multi-electrode catheter
dc.subject.other Signal processing
dc.subject.other Real-time
dc.subject.other Rotors
dc.subject.other Rotational activity
dc.title Real-time rotational activity detection in atrial fibrillation
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.3389/fphys.2018.00208
dc.rights.accessRights openAccess
dc.relation.projectID Comunidad de Madrid. S2013/ICE-2845
dc.relation.projectID Gobierno de España. TEC2015-69868-C2-1-R
dc.type.version publishedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationissue 208
dc.identifier.publicationlastpage 17
dc.identifier.publicationtitle Frontiers in Physiology
dc.identifier.publicationvolume 9
dc.identifier.uxxi AR/0000027384
dc.contributor.funder Comunidad de Madrid
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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