Paper Info
Title
Phase Analysis Of Endoatrial Electrograms For 3d Rotor Detection In Atrial Fibrillation
Abstract
Atrial fibrillation (AF) is the most common type of arrhythmia encountered in clinical practice but its maintaining mechanisms remain elusive. Over the last years, various theories have been proposed to target AF mechanisms. Recently, there has been an increasing interest in understanding how spiral waves and rotors sustain AF and how they might be therapeutic targets for catheter-based ablation. Phase mapping has recently been used as a robust method to characterize the spatiotemporal variability of electrical activities. In this study, we propose an independent approach for basket catheter electrogram (EGM) processing to detect rotors in AF. An improved version of the sinusoidal recomposition method for the local activation timings (LATs) has been developed and 3D phase maps have been reconstructed. An algorithm able to detect stable and meandering rotors on the left atrium (LA) surface was then developed. This workflow has been validated on synthetic EGMs and in silico showing excellent results. On in vivo data, we found 4.0 +/- 3.4 and 4.6 +/- 5.0 localized and meandering rotors with a persistence in time: 303.2 +/- 58.2ms and 302.3 +/- 52.0ms respectively.
Year
DOI
Venue
2017
10.22489/CinC.2017.193-415
2017 COMPUTING IN CARDIOLOGY (CINC)
Field
DocType
Volume
Biomedical engineering,Atrial fibrillation,Spiral,Computer science,Clinical Practice,Ablation,Left atrium,Rotor (electric),Phase analysis
Conference
44
ISSN
Citations 
PageRank 
2325-8861
1
0.48
References 
Authors
0
8
Name
Order
Citations
PageRank
Maddalena Valinoti110.48
Francesca Berto210.48
Martino Alessandrini316516.19
r mantovan411.16
Axel Loewe51212.94
Olaf Dössel626456.10
Stefano Severi72819.47
Cristiana Corsi84914.59