• DocumentCode
    2314519
  • Title

    Application of wavelet analysis in detection of fetal ECG

  • Author

    Datian, Ye ; Xuemei, Ouyang

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing, China
  • Volume
    3
  • fYear
    1996
  • fDate
    31 Oct-3 Nov 1996
  • Firstpage
    1043
  • Abstract
    The paper presents a new wavelet analysis method which is utilized in the detection of fetal electrocardiogram (FECG) from the abdominal signal. At first, in the monitoring of fetal heart rate and fetal ECG, the wavelet analysis approach is used to determine the position of the abdominal maternal electrocardiogram (MECG), and whether the MECG is in saturated distortion. The amplification of original signal and the enhancement of FECG is not limited. Second, in the coherence average of FECG, the wavelet analysis is utilized to enhance FECG so that the coherent average can get a more accurate reference. Third, in the elimination of baseline drift, the best scale of wavelet base function can be obtained to smooth the baseline drift. Tests on clinical data have shown that the proposed method can be effective in detecting the FECG signal in many cases when compared with other methods in practice
  • Keywords
    electrocardiography; medical signal processing; patient monitoring; wavelet transforms; abdominal maternal electrocardiogram; abdominal signal; baseline drift elimination; clinical data; fetal ECG detection; fetal heart rate; saturated distortion; signal amplification; signal enhancement; wavelet analysis; Abdomen; Coherence; Electrocardiography; Fetal heart rate; Noise cancellation; Signal analysis; Signal detection; Signal processing; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
  • Conference_Location
    Amsterdam
  • Print_ISBN
    0-7803-3811-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.1996.652701
  • Filename
    652701