• DocumentCode
    2075945
  • Title

    Combined method for fetal electrocardiogram extraction from noninvasive abdominal recordings

  • Author

    Ye-Lin, Y. ; Prats-Boluda, Gema ; Alberola-Rubio, J. ; Garcia-Casado, Javier

  • Author_Institution
    Grupo de Bioelectronica, Univ. Politec. de Valencia, Valencia, Spain
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    356
  • Lastpage
    359
  • Abstract
    Abdominal electrocardiogram (AECG) recording is a non-invasive method to assess fetal well-being during both pregnancy and delivery. However, AECG recording is contaminated by a series of physiological interferences which make difficult the extraction of morphological and temporal parameters of fetal ECG from the raw signals. In this work, it is proposed a combined method to extract the fetal ECG from AECG recording by removing the interferences on a cascade structure using a priori information about the signals nature. In this work, a total of 54 multichannel AECG recordings taken from 21 to 40 weeks of gestation were enrolled. Experimental results show that the proposed method outperforms conventional independent component analysis, and provides fetal heart rate detection in 80% of the cases. In addition it also permits to obtain fetal ECG morphology from AECG recordings.
  • Keywords
    cascade systems; electrocardiography; independent component analysis; medical signal detection; medical signal processing; obstetrics; abdominal electrocardiogram recording; cascade structure; conventional independent component analysis; fetal ECG morphology; fetal electrocardiogram extraction; fetal heart rate detection; gestation; morphological extraction; multichannel AECG recordings; noninvasive abdominal recordings; noninvasive method; physiological interferences; pregnancy; priori information; raw signals; temporal parameters; Algorithm design and analysis; Electrocardiography; Electrodes; Fetal heart rate; Independent component analysis; Interference; Pregnancy; Electrocardiography; Female; Fetus; Gestational Age; Humans; Pregnancy; Prenatal Diagnosis; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6345942
  • Filename
    6345942