• DocumentCode
    1312116
  • Title

    A new method for the extraction of fetal ECG from the composite abdominal signal

  • Author

    Khamene, Ali ; Negahdaripour, Shahriar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
  • Volume
    47
  • Issue
    4
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    507
  • Lastpage
    516
  • Abstract
    We developed a wavelet transform-based method to extract the fetal electrocardiogram (ECG) from the composite abdominal signal. This is based on the detection of the singularities obtained from the composite abdominal signal, using the modulus maxima in the wavelet domain. Modulus maxima locations of the abdominal signal are used to discriminate between maternal and fetal ECG signals. Two different approaches have been considered, In the first approach, at least one thoracic signal is used as the a prior to perform the classification whereas in the second approach no thoracic signal is needed, A reconstruction method is utilized to obtain the fetal ECG signal from the detected fetal modulus maxima. The proposed technique is different from the classical time-domain methods, in that we exploit the most distinct features of the signal, leading to more robustness with respect to signal perturbations. Results of experiments with both synthetic and real ECG data have been presented to demonstrate the efficacy of the proposed method.
  • Keywords
    electrocardiography; medical signal processing; obstetrics; signal reconstruction; wavelet transforms; composite abdominal signal; fetal ECG extraction; modulus maxima locations; recursive reconstruction method; singularities detection; thoracic signal; wavelet transform-based method; Abdomen; Cardiac disease; Data mining; Electrocardiography; Interference; Reconstruction algorithms; Signal analysis; Signal detection; Time domain analysis; Wavelet domain; Abdomen; Algorithms; Electrocardiography; Female; Fetal Heart; Fetal Monitoring; Humans; Pregnancy; Signal Processing, Computer-Assisted; Thorax;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.828150
  • Filename
    828150