• DocumentCode
    2490909
  • Title

    The methods of BSS used for extraction of FECG

  • Author

    Liu, Lihua ; Liu, Xiaozhi

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5024
  • Lastpage
    5026
  • Abstract
    In recent works, blind source separation (BSS) is arising as a promising approach to the biomedical application. From the BSS point of view, fetal electrocardiogram (FECG) extraction is achieved through the estimation of the independent sources of fetal cardiac bioelectric activity. In this contribution, a BSS method based on higher-order statistics is contrasted with a significant classical technique for fetal electrocardiogram extraction. The experimental outcome demonstrates the more robust performance of the blind technique in this important biomedical application.
  • Keywords
    blind source separation; electrocardiography; higher order statistics; medical signal processing; biomedical application; blind source separation; fetal cardiac bioelectric activity; fetal electrocardiogram extraction; higher-order statistics; Automation; Blind source separation; Data mining; Electrocardiography; Electrodes; Fetal heart; Independent component analysis; Intelligent control; Signal processing algorithms; Source separation; BSS; FECG; ICA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593743
  • Filename
    4593743