Issue No. 02 - March-April (2013 vol. 15)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MCSE.2013.37
Joao Loures Salinet , University of Leicester, UK
Guilherme N. Oliveira , Universidade Federal do Rio Grande Do Sul, Brazil
Frederique Jos Vanheusden , University of Leicester, UK
Joao Luiz Dihl Comba , Universidade Federal do Rio Grande Do Sul, Brazil
Ghulam Andre Ng , University of Leicester, UK
Fernando Soares Schlindwein , University of 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.
data visualisation, defibrillators, electrocardiography, medical signal processing, spectral analysis
J. L. Salinet, G. N. Oliveira, F. J. Vanheusden, J. L. Comba, G. A. Ng and F. S. Schlindwein, "Visualizing intracardiac atrial fibrillation electrograms using spectral analysis," in Computing in Science & Engineering, vol. 15, no. 2, pp. 79-87, 2013.