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R Wave Detection using Coiflets Wavelets

Elgendi, Mohamed Y., Jonkman, Mirjam E. and De Boer, Friso G. (2009). R Wave Detection using Coiflets Wavelets. In: 35th Annual Northeast Bioengineering Conference, Boston, Massachusetts, 3-5 April 2009.

Document type: Conference Paper

IRMA ID 77514990xPUB7
Author Elgendi, Mohamed Y.
Jonkman, Mirjam E.
De Boer, Friso G.
Title R Wave Detection using Coiflets Wavelets
Conference Name 35th Annual Northeast Bioengineering Conference
Conference Location Boston, Massachusetts
Conference Dates 3-5 April 2009
Conference Publication Title Bioengineering, Proceedings of the Northeast Conference
Place of Publication United States
Publisher IEEE
Publication Year 2009
ISBN 978-1-4244-4362-8   (check CDU catalogue open catalogue search in new window)
ISSN 1071-121X   (check CDU catalogue open catalogue search in new window)
Total Pages 2
HERDC Category E1 - Conference Publication (DEST)
Abstract Accurate detection of QRS complexes is important for ECG signal analysis. In this paper, a generic algorithm using Coiflet wavelets is introduced to improve the detection of QRS complexes in arrhythmia ECG Signals that suffer from: 1) non-stationary effects, 2) low signal-to-noise ratio, 3) negative QRS polarities, 4) low QRS amplitudes, and 5) ventricular ectopics. The algorithm achieves high detection rates by using a signal-to-noise ratio threshold instead of predetermined static thresholds. The performance of the algorithm was tested on 48 records of the MIT/BIH Arrhythmia Database. It was shown that this adaptive approach results in accurate detection of the QRS complex and that Coiflet1 achieves better detection rate than the other Coiflet wavelets.
Additional Notes DOI: 10.1109/NEBC.2009.4967756
Description for Link Link to conference paper
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Created: Mon, 29 Mar 2010, 16:31:22 CST by Sarena Wegener