Noninvasive Characterisation of Short-and Long-Term Recurrence of Atrial Signals During Persistent Atrial Fibrillation

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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Abstract

Propagation of electrical atrial activity (AA) during atrial fibrillation (AF) is a process characterized by different short- and long-term recurrence behaviours. Two antithetical (not mutually exclusive) hypotheses were proposed to noninvasively describe this nonstationary behaviour. The first hypothesis (H1) assumes a process with stationary spatial properties of AA propagation, but time-varying frequency properties, and vice versa for the second (H2). Based on H1 and H2, two phenomenological models were proposed, both able to replicate observations on AF patients, and a novel measure was introduced to assess the spatial variability of AA propagation (SVAAP) over short and long AA segments. Validity of the models was tested by looking at the relation between SVAAP-short and SVAAP-long on real observations from AF patients (high-density body surface potential maps recorded in 75 patients affected by persistent AF). H1 is confirmed if SVAAP-short is approximately equal to SVAAP-long. H2 if SVAAP-short is less than SVAAP-long. Results confirmed H2, showing that AA propagation during AF has strong nonstationary spatial properties. This could suggest new parameters to characterise AF substrate and predict therapy outcome.
Original languageEnglish
Title of host publicationComputing in Cardiology
Place of PublicationRennes, France
PublisherIEEE Computer Society
Number of pages4
Volume44
Edition4
DOIs
Publication statusPublished - 1 Sept 2017
Event44th Computing in Cardiology Conference - Rennes, France
Duration: 24 Sept 201727 Sept 2017
https://www.cinc.org/2017/ProgramBook/2017CinCProgramBook2.pdf

Publication series

SeriesComputing in Cardiology Conference
Volume44
ISSN2325-8861

Conference

Conference44th Computing in Cardiology Conference
Abbreviated titleCinC
Country/TerritoryFrance
CityRennes
Period24/09/1727/09/17
Internet address

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