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Wavelet entropy as a measure of ventricular beat suppression from the electrocardiogram in atrial fibrillation

Langley, Philip

Authors

Abstract

A novel method of quantifying the effectiveness of the suppression of ventricular activity from electrocardiograms (ECGs) in atrial fibrillation is proposed. The temporal distribution of the energy of wavelet coefficients is quantified by wavelet entropy at each ventricular beat. More effective ventricular activity suppression yields increased entropies at scales dominated by the ventricular and atrial components of the ECG. Two studies are undertaken to demonstrate the efficacy of the method: first, using synthesised ECGs with controlled levels of residual ventricular activity, and second, using patient recordings with ventricular activity suppressed by an average beat template subtraction algorithm. In both cases wavelet entropy is shown to be a good measure of the effectiveness of ventricular beat suppression.

Journal Article Type Article
Publication Date Sep 17, 2015
Journal Entropy
Print ISSN 1099-4300
Electronic ISSN 1099-4300
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 17
Issue 9
Pages 6397-6411
Institution Citation Langley, P. (2015). Wavelet entropy as a measure of ventricular beat suppression from the electrocardiogram in atrial fibrillation. Entropy, 17(9), (6397-6411). doi:10.3390/e17096397. ISSN 1099-4300
DOI https://doi.org/10.3390/e17096397
Keywords Electrocardiogram; Atrial fibrillation; Wavelet entropy; QRST suppression
Publisher URL http://www.mdpi.com/1099-4300/17/9/6397
Copyright Statement © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
Additional Information Copy of article first published in: Entropy, 2015, v.17, issue 9.

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Copyright Statement
© 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).



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