Salinet, JL, Oliveira, GN, Vanheusden, FJ ORCID: https://orcid.org/0000-0003-2369-6189, Comba, JLD, Ng, GA and Schlindwein, FS, 2013. Visualizing intracardiac atrial fibrillation electrograms using spectral analysis. Computing in Science & Engineering, 15 (2), pp. 79-87. ISSN 1521-9615
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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.
Item Type: | Journal article |
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Publication Title: | Computing in Science & Engineering |
Creators: | Salinet, J.L., Oliveira, G.N., Vanheusden, F.J., Comba, J.L.D., Ng, G.A. and Schlindwein, F.S. |
Publisher: | Institute of Electrical and Electronics Engineers |
Date: | 12 March 2013 |
Volume: | 15 |
Number: | 2 |
ISSN: | 1521-9615 |
Identifiers: | Number Type 10.1109/mcse.2013.37 DOI |
Divisions: | Schools > School of Science and Technology |
Record created by: | Jonathan Gallacher |
Date Added: | 29 Nov 2018 16:26 |
Last Modified: | 29 Nov 2018 16:26 |
URI: | https://irep.ntu.ac.uk/id/eprint/35183 |
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