• DocumentCode
    1837867
  • Title

    The Novel Method for the Fetal Electrocardiogram Extraction from the Abdominal Signal

  • Author

    Mi Hye Song ; Sung Pil Cho ; Ho Dong Park ; Kyoung Joung Lee

  • Author_Institution
    Yonsei Univ., Wonju
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    3282
  • Lastpage
    3284
  • Abstract
    In this paper, we have proposed a new method to extract the fetal ECG from a pregnant woman´s abdominal signal using least square acceleration (LSA) filter and adaptive impulse correlation (AIC) filter. To evaluate the performance, the proposed method and other fetal ECG extraction techniques were processed using the synthetic and real ECG data and then the results were compared. According to comparative results, the proposed method is powerful and successful for extracting the fetal ECG. It was able to separate perfectly even though the fetal beats overlap with the QRS wave of the maternal beats and to extract fetal ECG using any single-channel abdominal signal measured from pregnant woman´s abdominal surface. Also, it could be implemented easily by fast computation time and simple structure. It is sure that our method could be useful for portable fetal monitoring system.
  • Keywords
    adaptive filters; electrocardiography; feature extraction; least squares approximations; medical signal processing; obstetrics; abdominal signal; adaptive impulse correlation filter; fetal electrocardiogram extraction; least square acceleration filter; Abdomen; Acceleration; Adaptive filters; Biomedical engineering; Data mining; Electrocardiography; Independent component analysis; Least squares methods; Pregnancy; Signal processing; Abdomen; Algorithms; Artificial Intelligence; Cardiotocography; Diagnosis, Computer-Assisted; Electrocardiography; Fetal Heart; Humans; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4353030
  • Filename
    4353030