• DocumentCode
    730172
  • Title

    A multi-modal approach using a non-parametric model to extract fetal ECG

  • Author

    Noorzadeh, Saman ; Rivet, Bertrand ; Gumery, Pierre-Yves

  • Author_Institution
    GIPSA-Lab., Grenoble Univ., Grenoble, France
  • fYear
    2015
  • fDate
    19-24 April 2015
  • Firstpage
    832
  • Lastpage
    836
  • Abstract
    This study presents a non-parametric method to extract and separate maternal and fetal electrocardiogram (ECG) from an abdominal channel. The proposed method relies on the use of two additional reference signals related to the maternal and to the fetal ECGs. The fetal and maternal ECG contributions which exist in the abdominal channel are modeled from their respective references using a Gaussian process. Both of these signals are modeled considering a thoracic ECG reference, and an abdominal PCG reference, respectively for maternal ECG and fetal ECG. This general method provides a good behavior to extract fetal ECG as stated by the numerical experiments and shows that it can make use of 1-bit reference signals, which can be easier to record and more efficient to process.
  • Keywords
    Gaussian processes; electrocardiography; feature extraction; medical signal processing; obstetrics; Gaussian process; I-bit reference signals; abdominal PCG reference; abdominal channel; additional reference signals; fetal ECG extraction; fetal electrocardiogram; maternal electrocardiogram; multimodal approach; nonparametric model; thoracic ECG reference; Electrocardiography; Estimation; Gaussian process; PCG; fetal ECG; multi-channel approach; multi-modal; non-parametric model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
  • Conference_Location
    South Brisbane, QLD
  • Type

    conf

  • DOI
    10.1109/ICASSP.2015.7178086
  • Filename
    7178086