DocumentCode
1755364
Title
Visualizing intracardiac atrial fibrillation electrograms using spectral analysis
Author
Salinet, J.L. ; Oliveira, G.N. ; Vanheusden, Frederique J. ; Comba, Joao L. D. ; Ng, G. Andre ; Schlindwein, Fernando S.
Author_Institution
Univ. of Leicester, Leicester, UK
Volume
15
Issue
2
fYear
2013
fDate
March-April 2013
Firstpage
79
Lastpage
87
Abstract
Atrial fibrillation is the most common cardiac arrhythmia, and it is associated with increased risk of stroke, heart failure, and mortality. This work describes spectral analysis techniques that are being used in conjunction with visualization algorithms to help guide catheter ablation procedures that aim at treating patients with arrhythmia.
Keywords
data visualisation; defibrillators; electrocardiography; medical signal processing; spectral analysis; cardiac arrhythmia; catheter ablation procedure; heart failure; intracardiac atrial fibrillation electrogram; mortality; spectral analysis; stroke; visualization algorithm; Atrial fibrillation; Cardiology; Catheters; Frequency-domain analysis; Heart; Real-time systems; Scientific computing; Spectral analysis; atrial fibrillation; intercardiac atrial electrograms; scientific computing; scientific visualization; spectral analysis;
fLanguage
English
Journal_Title
Computing in Science & Engineering
Publisher
ieee
ISSN
1521-9615
Type
jour
DOI
10.1109/MCSE.2013.37
Filename
6478759
Link To Document