• DocumentCode
    2941782
  • Title

    Foetal PQRST extraction from ECG recordings using cyclostationarity-based source separation method

  • Author

    Haritopoulos, Michel ; Capdessus, Cécile ; Nandi, Asoke K.

  • Author_Institution
    Inst. PRISME, Chartres, France
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    1910
  • Lastpage
    1913
  • Abstract
    This work proposes a novel foetal electrocardiogram (FECG) extraction approach based on the cyclostationary properties of the signal of interest. The problem of FECG extraction can easily fit in a blind source separation (BSS) framework; taking into account specific statistical nature of the signal, that one wants to extract, leads to an algorithm able to estimate the FECG contribution to ECG recordings where the maternal ECG is predominant. We show that the proposed procedure provides estimates of the FECGs PQRST complexes without incorporating any prior knowledge concerning PQRST features. Discussions about foetal heart rate variability (HRV) estimation and future works conclude this paper.
  • Keywords
    biological organs; blind source separation; electrocardiography; feature extraction; medical signal processing; ECG recordings; blind source separation; cyclostationarity-based source separation method; foetal PQRST extraction; foetal heart rate variability estimation; statistical nature; Channel estimation; Electrocardiography; Frequency estimation; Heart rate variability; Lead; Sensors; Algorithms; Electrocardiography; Electrodes; Female; Fetal Heart; Fetal Monitoring; Fourier Analysis; Heart Rate; Humans; Models, Cardiovascular; Models, Statistical; Pregnancy; Signal Processing, Computer-Assisted; Time Factors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627304
  • Filename
    5627304