R Wave Detection using Coiflets Wavelets

    Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedings

    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.
    Original languageEnglish
    Title of host publicationBioengineering, Proceedings of the Northeast Conference
    EditorsA Gupta
    Place of PublicationUnited States
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages-
    Number of pages2
    ISBN (Print)9781424443628
    Publication statusPublished - 2009
    Event35th Annual Northeast Bioengineering Conference - Boston, Massachusetts
    Duration: 3 Apr 20095 Apr 2009

    Conference

    Conference35th Annual Northeast Bioengineering Conference
    Period3/04/095/04/09

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  • Cite this

    Elgendi, M., Jonkman, M., & De Boer, F. (2009). R Wave Detection using Coiflets Wavelets. In A. Gupta (Ed.), Bioengineering, Proceedings of the Northeast Conference (pp. -). IEEE, Institute of Electrical and Electronics Engineers.