• DocumentCode
    3747098
  • Title

    Fetal ECG extraction using hybrid BSS techniques

  • Author

    Luis Sarmiento;Alberto Gonz?lez;Jos? Millet

  • Author_Institution
    Unidades Tecnol?gicas de Santander, Bucaramanga, Colombia
  • fYear
    2015
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    In the task of extracting the fetal ECG from abdominal ECG, often blind source separation is used as an intermediate step. To solve this problem is generally employed PCA and ICA. The COMBI and MULTI-COMBI algorithms offer novel schemes for combining PCA and ICA, enabling exploit the strengths of both techniques. In this work, the performance of the algorithms COMBI, MULTICOMBI, EFICA and traditional JADE algorithm are compared. We used a semi-synthetic database. In all case, it is found that the COMBI and MULTICOMBI algorithms show better performance than the JADE, and EFICA algorithms.
  • Keywords
    "Signal to noise ratio","Signal processing algorithms","Databases","Blind source separation","Electrocardiography","Algorithm design and analysis","White noise"
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2015
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-5090-0685-4
  • Electronic_ISBN
    2325-887X
  • Type

    conf

  • DOI
    10.1109/CIC.2015.7408606
  • Filename
    7408606