• DocumentCode
    3736410
  • Title

    Fetal monitoring: Identifying the relevant biosignals interdependencies

  • Author

    Bogdan Hurezeanu;Irina-Emilia Nicolae;Dragos Taralung?;Rodica Strungaru;Werner Wolf;Ilinca Gussi;Mihaela Ungureanu

  • Author_Institution
    Applied Electronics and Information Engineering Department, Politehnica University of Bucharest, Romania
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The interdependences between the maternal heart rate (mHR), the electrohysterogram (EHG) and the fetal heart rate (fHR) are of great interest, indicating the well developing of pregnancy, and they were initially analyzed in the current study by using the spectral coherence. The mHR and fHR were obtained by applying independent component analysis (ICA)and event-synchronous canceller (ESC) algorithms and considered together with the electrohysterogram (EHG) for analysis: their spectra and connectivity were evaluated within the multivariate analysis based on autoregressive model, its parameters being estimated by Kalman filter. The coherence analysis based on Fourier transform, the wavelet coherence and the partial directed coherence were then applied to obtain details about the influences among these signals and the directionality of their interdependences.
  • Keywords
    "Coherence","Fetal heart rate","Kalman filters","Mathematical model","Estimation","Wavelet transforms"
  • Publisher
    ieee
  • Conference_Titel
    E-Health and Bioengineering Conference (EHB), 2015
  • Print_ISBN
    978-1-4673-7544-3
  • Type

    conf

  • DOI
    10.1109/EHB.2015.7391445
  • Filename
    7391445