• DocumentCode
    3439466
  • Title

    Wavelet analysis method for processing and recognition of abdominal fetal ECG waveform

  • Author

    Datian, Ye ; Yu, Cao ; Qin, Gong

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    1998
  • fDate
    1998
  • Firstpage
    121
  • Abstract
    In the paper a method is presented for eliminating the maternal electrocardiogram (MECG) from the abdominal signal to enhance the fetal electrocardiogram (FECG). In the method, the FECG signal can be amplified till saturated distortion, even saturation of MECG has happened. The result is derived from utilization of wavelet analysis. At first, the wavelet analysis approach is used to detect the position of the MECG in saturated distortion. Then the MECG is eliminated from the abdominal signal. Next it is used to enhance the FECG so that FECG can be extracted from the high noise. The advantage of the proposed method is that it is not limited by the distorted MECG. Tests on clinical data have shown that this method can be more effective in detecting the FECG signal in many cases when compared with other methods in practice
  • Keywords
    electrocardiography; medical signal detection; medical signal processing; obstetrics; pattern recognition; wavelet transforms; abdominal fetal ECG waveform; abdominal signal; maternal electrocardiogram elimination; noise; saturated distortion; wavelet analysis method; Abdomen; Electrocardiography; Matched filters; Signal analysis; Signal detection; Signal processing; Signal processing algorithms; Signal to noise ratio; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits and Systems, 1998 IEEE International Conference on
  • Conference_Location
    Lisboa
  • Print_ISBN
    0-7803-5008-1
  • Type

    conf

  • DOI
    10.1109/ICECS.1998.813949
  • Filename
    813949