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

Langley, Philip

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.

Citation

Langley, P. (2015). Wavelet entropy as a measure of ventricular beat suppression from the electrocardiogram in atrial fibrillation. Entropy, 17(9), 6397-6411. https://doi.org/10.3390/e17096397

• 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: Nov 23, 2017
• Journal: Entropy
• Electronic ISSN: 1099-4300
• Publisher: MDPI
• Peer Reviewed: Peer Reviewed
• Volume: 17
• Issue: 9
• Pages: 6397-6411
• DOI: https://doi.org/10.3390/e17096397
• Keywords: Electrocardiogram; Atrial fibrillation; Wavelet entropy; QRST suppression
• Public URL: https://hull-repository.worktribe.com/output/380022
• Publisher URL: http://www.mdpi.com/1099-4300/17/9/6397
• Additional Information: Copy of article first published in: Entropy, 2015, v.17, issue 9.
• Contract Date: Nov 23, 2017