• DocumentCode
    3100374
  • Title

    Fetal ECG Extraction Using Wavelet Transform

  • Author

    Hassanpour, Hamid ; Parsaei, Amin

  • Author_Institution
    Dept. of Comput. & Electr. Eng., Univ. of Mazandaran, Babolsar
  • fYear
    2006
  • fDate
    Nov. 28 2006-Dec. 1 2006
  • Firstpage
    179
  • Lastpage
    179
  • Abstract
    This paper presents a new algorithm to extract the fetal ECG from an ECG recorded on the mother´s abdomen. The algorithm consists of two steps: first, ECG of fetus is extracted from the original signal using a two-level wavelet transform. We use Daubechie wavelet transform, which is similar in shape to heart beat wave. The resulted signal is then low-pass filtered using the Savitzky-Golay smoothing filter to attenuate the effect of noise. The filtered signal is considered as the fetal ECG. The algorithm was applied on both synthetic and real ECG signals. The results in this paper show that the proposed algorithm has promising performance.
  • Keywords
    electrocardiography; feature extraction; filtering theory; medical signal processing; obstetrics; smoothing methods; wavelet transforms; Daubechie wavelet transform; Savitzky-Golay smoothing filter; fetal ECG extraction; heart beat waves; two-level wavelet transform; wavelet transform; Abdomen; Discrete wavelet transforms; Electrocardiography; Fetus; Frequency; Low pass filters; Shape; Signal processing; Smoothing methods; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7695-2731-0
  • Type

    conf

  • DOI
    10.1109/CIMCA.2006.98
  • Filename
    4052801