Abstract
The analysis of the surface electrocardiogram is potentially useful for the study of atrial fibrillation. Since the ventricular activity is much stronger than the atrial activity, one has to suppress it. To this end, we applied two ICA algorithms to a data set of surface electrocardiogram signals recorded in clinical conditions. We also propose a procedure to judge the quality of the suppression of ventricular activity and the extraction of atrial activity. We apply this procedure to our extracted activities and discuss our results. © Springer-Verlag 2004.
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CITATION STYLE
Lemay, M., Vesin, J. M., Ihara, Z., & Kappenberger, L. (2004). Suppression of ventricular activity in the surface electrocardiogram of atrial fibrillation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 1095–1102. https://doi.org/10.1007/978-3-540-30110-3_138
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