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Content Provider | IEEE Xplore Digital Library |
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Author | Bonizzi, Pietro Phlypo, Ronald Zarzoso, Vicente Meste, Olivier |
Copyright Year | 2008 |
Description | Author affiliation: Laboratoire I3S, UNSA/CNRS, 2000 Route des Lucioles, Les Algorithmes Euclide B, B.P. 121, 06903 Sophia Antipolis Cedex, France (Bonizzi, Pietro; Zarzoso, Vicente; Meste, Olivier) || MEDISIP - IBBT, Ghent University, De Pintelaan 185, 9000, Belgium (Phlypo, Ronald) |
Abstract | The accuracy in the extraction of the atrial activity (AA) from electrocardiogram (ECG) signals recorded during atrial fibrillation (AF) episodes plays an important role in the analysis and characterization of atrial arrhythmias. The present contribution puts forward a method for AA signal extraction based on a blind source separation (BSS) formulation. The latter exploits spatial information on the different components in the ECG related or not to AF. The source directions or spatial topographies of the components not related to AF are used to determine the nullspace of the AA, so that the topographies related to AA become more suitable to describe AF sources. The comparative performance of the method is evaluated on real data recorded from patients with noticeable AF. The AA extraction quality of the proposed technique is comparable to that of previous algorithms. |
Starting Page | 1867 |
Ending Page | 1870 |
File Size | 206520 |
Page Count | 4 |
File Format | |
ISBN | 9781424418145 |
ISSN | 1557170X |
DOI | 10.1109/IEMBS.2008.4649549 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-08-20 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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