• DocumentCode
    627368
  • Title

    A noise independent approach to QRS-complex detection using CWT

  • Author

    Mukherjee, Arjun ; Ghosh, K.K.

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Univ. of Eng. & Manage., Jaipur, India
  • fYear
    2013
  • fDate
    17-18 May 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we propose an efficient approach to QRS-complex detection using the Continuous Wavelet Transform (CWT). The method described in this paper is not affected by the presence of noise in the ECG signal nor does it depend on the morphology of the ECG waves. The speed of analysis of ECG signals using CWT and the accuracy of QRS-complex detection has been increased. The implementation of this method puts the CWT based peak detection methods at par with the DWT based methods with, same and in some cases, better accuracy of detection than the DWT based methods.
  • Keywords
    electrocardiography; medical signal processing; wavelet transforms; CWT based peak detection methods; DWT based methods; ECG signal; ECG waves; QRS-complex detection; continuous wavelet transform; noise independent approach; Continuous wavelet transforms; Discrete wavelet transforms; Electrocardiography; Wavelet analysis; Wavelet coefficients; Continuous Wavelet Transform; ECG; QRS complex detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2013 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-0397-9
  • Type

    conf

  • DOI
    10.1109/ICIEV.2013.6572722
  • Filename
    6572722