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

Langley, Philip



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.


Langley, P. (2015). Wavelet entropy as a measure of ventricular beat suppression from the electrocardiogram in atrial fibrillation. Entropy, 17(9), 6397-6411.

Journal Article Type Article
Acceptance Date Sep 14, 2015
Online Publication Date Sep 17, 2015
Publication Date Sep 17, 2015
Deposit Date Oct 21, 2015
Publicly Available Date Oct 27, 2022
Journal Entropy
Electronic ISSN 1099-4300
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 17
Issue 9
Pages 6397-6411
Keywords Electrocardiogram; Atrial fibrillation; Wavelet entropy; QRST suppression
Public URL
Publisher URL
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 (

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