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A comparative study of three techniques for QRS cancellation in the ECG

Diaz, MA, Escalona, OJ, Hernandez, AI and Mora, F (2001) A comparative study of three techniques for QRS cancellation in the ECG. Technology And Health Care, 9 (1-2). pp. 202-204. [Journal article]

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URL: http://dl.acm.org/citation.cfm?id=381301&CFID=412023872&CFTOKEN=58711206

Abstract

In this paper, the performance-three QRS cancellation techniques compared to obtain a residual ECG information containing only atrial activity (AA), thereby facilitating detection of the P wave in the ECG and/or analysis of atrial arrhythmias. The methods are based on adaptive filters (AdF), neural networks (NN), and the space-time of an averaged beat for subsequent removal from the ECG signal, the comparison is made with reference to the results obtained with the adaptive filtering method by Thakor. The results show that the methods based on NN and AdF are more robust to morphological changes of the signal and in the presence of noise than non-adaptive methods, also have the advantage that they do not require a pre-detection stage of QRST, however, for the average beat alignment method, best results are obtained when there are no QRS detection failures.

Item Type:Journal article
Keywords:QRS cancelation techniques, atrial fibrillation ECG, Electrocardiography, adaptive filters, neural networks.
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:30038
Deposited By: Professor Omar Escalona
Deposited On:08 Feb 2016 14:27
Last Modified:08 Feb 2016 14:27

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