Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation
dc.contributor.author | Cirugeda Roldan, Eva María | |
dc.contributor.author | Calero, Sofía | |
dc.contributor.author | Hidalgo , Víctor Manuel | |
dc.contributor.author | Eneró, José | |
dc.contributor.author | Rieta, José Joaquín | |
dc.contributor.author | Alcaraz, Raúl | |
dc.date.accessioned | 2025-08-01T07:27:46Z | |
dc.date.available | 2025-08-01T07:27:46Z | |
dc.date.issued | 2020-09-16 | |
dc.description.abstract | Electrical cardioversion (ECV) is a well-established strategy for atrial fibrillation (AF) management. Despite its high initial effectiveness, a high relapsing rate is also found. Hence, identification of patients at high risk of early AF recurrence is crucial for a rationale therapeutic strategy. For that purpose, a set of indices characterizing fibrillatory (f-) waves have been proposed, but they have not considered nonlinear dynamics present at different timescales within the cardiovascular system. This work thus explores whether a multiscale entropy (MSE) analysis of the f-waves can improve preoperative predictions of ECV outcome. Thus, two MSE approaches were considered, i.e., traditional MSE and a refined version (RMSE). Both algorithms were applied to the main f-waves component extracted from lead V1 and entropy values were computed for the first 20 time-scales. As a reference, dominant frequency (DF) and f-wave amplitude (FWA) were also computed. A total of 70 patients were analyzed, and all parameters but FWA showed statistically significant differences between those relapsing to AF and maintaining sinus rhythm during a follow-up of 4 weeks. RMSE reported the best results for the scale 19, improving predictive ability up to an 8% with respect to DAF and FWA. Consequently, investigation of nonlinear dynamics at large time-scales can provide useful insights able to improve predictions of ECV failure. | |
dc.identifier.citation | E. M. Cirugeda, S. Calero, V. M. Hidalgo, J. Enero, J. J. Rieta and R. Alcaraz, "Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation," 2020 Computing in Cardiology, Rimini, Italy, 2020, pp. 1-4, doi: 10.22489/CinC.2020.369. | |
dc.identifier.doi | 10.22489/CinC.2020.369 | |
dc.identifier.issn | 2325-887X | |
dc.identifier.uri | https://hdl.handle.net/10115/97357 | |
dc.language.iso | en | |
dc.publisher | Computing in Cardiology | |
dc.rights | Attribution 4.0 International | en |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
dc.subject | Atrial Activity | |
dc.subject | Atrial fribrillation | |
dc.subject | nonlinear analysis | |
dc.subject | electrical cardioversion | |
dc.subject | refined multiscale entropy | |
dc.subject | multiscale entropy | |
dc.title | Refined Multiscale Entropy Predicts Early Failure in Electrical Cardioversion of Atrial Fibrillation | |
dc.type | Article |
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