Paper Info
Title
Automated Quantification Of Atrial Fibrillation Complexity By Probabilistic Electrogram Analysis And Fibrillation Wave Reconstruction
Abstract
The analysis of high-density activation maps of atrial fibrillation (AF) provides fundamental insights into the fibrillation wave propagation patterns and thus the mechanisms of AF. Current annotation of local activations in unipolar atrial electrograms and the construction of fibrillation waves require labor-intensive manual editing. To enhance the possibilities for spatiotemporal analysis of AF, we developed a rapid and fully automated procedure to accurately identify local, intrinsic atrial deflections and construct fibrillation waves based on these deflections. In this study, the automated procedure was validated using manually annotated electrograms and wave maps. We show that the novel procedure accurately detects intrinsic deflections (sensitivity=87%, positive predictive value=89%) and that reconstructed wave maps correlate well with manually edited wave maps in terms of number of waves (r=0.96), intra-wave conduction velocity (r=0.97), AF cycle length (r=0.97), and wave size (r=0.96) (p<0.01 in all cases). The automated procedure is therefore an adequate substitute for manual annotation.
Year
DOI
Venue
2012
10.1109/EMBC.2012.6347448
2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Keywords
Field
DocType
signal reconstruction,probability
Atrial fibrillation,Fibrillation,Wave propagation,Computer science,Manual annotation,Electronic engineering,Probabilistic logic,Spatiotemporal Analysis,Electrocardiography,Signal reconstruction
Conference
Volume
ISSN
Citations 
2012
1557-170X
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Stef Zeemering1166.47
B Maesen200.34
J Nijs300.34
D H Lau400.34
M Granier500.34
Sander Verheule622.69
U Schotten700.34