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Wavelet Entropy Automatically Detects Episodes of Atrial Fibrillation from Single-Lead Electrocardiograms
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Entropy 2015, 17(9), 6397-6411; doi:10.3390/e17096397

Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation

School of Engineering, University of Hull, Hull, HU6 7RX, UK
Academic Editor: Raúl Alcaraz Martínez
Received: 16 July 2015 / Revised: 9 September 2015 / Accepted: 14 September 2015 / Published: 17 September 2015
(This article belongs to the Special Issue Wavelet Entropy: Computation and Applications)
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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. View Full-Text
Keywords: electrocardiogram; atrial fibrillation; wavelet entropy; QRST suppression electrocardiogram; atrial fibrillation; wavelet entropy; QRST suppression
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Langley, P. Wavelet Entropy as a Measure of Ventricular Beat Suppression from the Electrocardiogram in Atrial Fibrillation. Entropy 2015, 17, 6397-6411.

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