Issue No.02 - March-April (2013 vol.15)
pp: 79-87
J.L. Salinet , Univ. of Leicester, Leicester, UK
G.N. Oliveira , Univ. Fed. do Rio Grande Do Sul, Rio Grande, Brazil
F.J. Vanheusden , Univ. of Leicester, Leicester, UK
J.L.D. Comba , Univ. Fed. do Rio Grande Do Sul, Rio Grande, Brazil
G.A. Ng , Univ. of Leicester, Leicester, UK
F.S. Schlindwein , Univ. of Leicester, Leicester, UK
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.
Heart, Cardiology, Frequency-domain analysis, Atrial fibrillation, Spectral analysis, Catheters, Real-time systems, Scientific computing, scientific computing, intercardiac atrial electrograms, atrial fibrillation, spectral analysis, scientific visualization
J.L. Salinet, G.N. Oliveira, F.J. Vanheusden, J.L.D. Comba, G.A. Ng, F.S. Schlindwein, "Visualizing intracardiac atrial fibrillation electrograms using spectral analysis", Computing in Science & Engineering, vol.15, no. 2, pp. 79-87, March-April 2013, doi:10.1109/MCSE.2013.37
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