Noninvasive Recurrence Quantification Analysis Predicts Atrial Fibrillation Recurrence in Persistent Patients Undergoing Electrical Cardioversion

Olivier Meste, Stef Zeemering, Joël Karel, Theo A.R. Lankveld, Ulrich Schotten, Harry Crijns, Ralf Peeters, Pietro Bonizzi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademic

Abstract

This study proposes a novel noninvasive ECG-based approach to accurately quantify differences in the atrial activity (AA) signals of atrial fibrillation (AF) patients characterized by very similar global AF organization.High-density body surface potential maps were recorded in 63 patients in persistent AF prior to electrical cardioversion (32 recurrences occurred after 4-6 weeks). AF substrate complexity was quantified as the degree of overall temporal organization of the AA pattern, determined from multi-variable unthresholded recurrence plots (RP).Results showed that non-recurrent patients were characterized by temporally more stable propagation patterns than recurrent patients, suggesting a lower complexity of the AF substrate in the former. This was used to discriminate between recurrent and non-recurrent AF patients following electrical cardioversion with an accuracy of 72%.Noninvasive assessment of AF substrate complexity in patients characterized by very similar levels of AF progression was improved by applying RP-based analysis on extracted AA signals. The proposed approach may help improving AF treatment selection and success.
Original languageEnglish
Title of host publicationComputing in Cardiology
Place of PublicationVancouver, Canada
PublisherIEEE
Pages677-680
Number of pages4
Volume43
ISBN (Print)9781509008957
DOIs
Publication statusPublished - 1 Sept 2016
Event43rd Computing in Cardiology Conference (CinC) - Vancouver, Canada
Duration: 11 Sept 201614 Sept 2016
http://www.cinc2016.org/

Publication series

SeriesComputing in Cardiology Conference
Volume43
ISSN2325-8861

Conference

Conference43rd Computing in Cardiology Conference (CinC)
Abbreviated title CinC 2016
Country/TerritoryCanada
CityVancouver
Period11/09/1614/09/16
Internet address

Keywords

  • COMPLEXITY

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