• DocumentCode
    2445547
  • Title

    A Fractional Wavelet for QRS Detection

  • Author

    Abdelliche, F. ; Charef, A. ; Talbi, M.L. ; Benmalek, M.

  • Author_Institution
    Univ. Mentouri, Constantine
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1186
  • Lastpage
    1189
  • Abstract
    In this paper we examine the use of fractional wavelet for the detection of QRS complex in ECG signal. The wavelet we used is the second derivative of the Cole-Cole distribution that is widely used in mathematical modelling of dielectrics and viscoelastic dynamics and it´s related to the fractional power pole (FPP). With the multiscale feature, the wavelet transform (WT) has provided more ability to distinguish R waves from high P or T waves, serious noise and artefacts. The study reports on the analysis of the first four-minutes signal of the 24 records in the MIT/BIH arrhythmia database. The QRS complexes detected were compared with the annotation file accompanying each signal to determine error, and then, the efficacy of the wavelet function
  • Keywords
    electrocardiography; medical signal processing; signal detection; wavelet transforms; Cole Cole distribution; ECG signal; MIT/BIH arrhythmia database; QRS detection; annotation file; fractional power pole; fractional wavelet; wavelet transform; Continuous wavelet transforms; Detectors; Dielectrics; Discrete wavelet transforms; Electrocardiography; Fourier transforms; Mathematical model; Signal analysis; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684544
  • Filename
    1684544