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Estimation of atrial fibrillatory frequency by spectral subtraction of wavelet denoised ECG in patients with atrial fibrillation

Goodfellow, J, Escalona, OJ, Walsh, PR, Kodoth, V and Manoharan, G (2014) Estimation of atrial fibrillatory frequency by spectral subtraction of wavelet denoised ECG in patients with atrial fibrillation. In: Computing in Cardiology 2014, Cambridge, MA, USA. IEEE. Vol 41 (1) 4 pp. [Conference contribution]

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URL: http://www.cinc.org/archives/2014/pdf/0329.pdf


The objective of this study was to assess the efficacy of a novel wavelet based dominant atrial fibrillatory frequency (DAFF) estimation technique on twenty patients who underwent internal cardioversion at RoyalVictoria Hospital, Belfast, The results acquired using the wavelet technique were compared against resultsachieved using a conventional average template subtraction (ATS) method with three performance parameters: percentage noise reduction ratio, ventricular activity (QRST) correlation value and percentage DAFF similarity ratio.The results for wavelet based estimation were 87.8%±5.3% and 0.983±0.006 respectively compared to72.9%±9.3% and 0.98l±0.0l0 for the ATS method. These results indicate that the wavelet technique offersimproved performance at attenuating noise in the Q-T intervals than conventional technique, yet there remainshigh retention of the ventricular morphology, suggesting that the proposed wavelet technique could be a usefulmethod for isolating atrial activity for DAFF analysis. DAFF estimated values using both techniques werecompared and found to be in good agreement, as percentage DAFF similarity ratio was 94.8%±3.8%.

Item Type:Conference contribution (Paper)
Keywords:Cardiovascular system; correlation methods; electrocardiography; medical signal processing; signal denoising; wavelet transforms; DAFF analysis; DAFF estimated values; Q-T intervals; QRST; wavelet based estimation; wavelet denoised ECG.
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:31861
Deposited By: Professor Omar Escalona
Deposited On:11 Jan 2016 09:40
Last Modified:11 Jan 2016 09:40

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