Paper Info
Title
A Novel Framework For Noninvasive Analysis Of Short-Term Atrial Activity Dynamics During Persistent Atrial Fibrillation
Abstract
ECG-based representation of atrial fibrillation (AF) progression is currently limited. We propose a novel framework for a more sensitive noninvasive characterization of the AF substrate during persistent AF. An atrial activity (AA) recurrence signal is computed from body surface potential map (BSPM) recordings, and a set of characteristic indices is derived from it which captures the short- and long-term recurrent behaviour in the AA patterns. A novel measure of short- and long-term spatial variability of AA propagation is introduced, to provide an interpretation of the above indices, and to test the hypothesis that the variability in the oscillatory content of AA is due mainly to a spatially uncoordinated propagation of the AF waveforms. A simple model of atrial signal dynamics is proposed to confirm this hypothesis, and to investigate a possible influence of the AF substrate on the short-term recurrent behaviour of AA propagation. Results confirm the hypothesis, with the model also revealing the above influence. Once the characteristic indices are normalized to remove this influence, they show to be significantly associated with AF recurrence 4 to 6 weeks after electrical cardioversion. Therefore, the proposed framework improves noninvasive AF substrate characterization in patients with a very similar substrate.
Year
DOI
Venue
2020
10.1007/s11517-020-02190-0
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
Keywords
DocType
Volume
Electrocardiography, Atrial fibrillation progression, Atrial fibrillation substrate complexity, Propagation patterns, Recurrence analysis
Journal
58
Issue
ISSN
Citations 
9
0140-0118
0
PageRank 
References 
Authors
0.34
0
8
Name
Order
Citations
PageRank
pietro bonizzi185.81
Olivier Meste27421.50
Stef Zeemering3166.47
Joël Karel400.34
theo lankveld511.38
harry j g m crijns612.06
Ulrich Schotten714.76
Ralf L. M. Peeters86222.61