• DocumentCode
    1563741
  • Title

    Variable Step-size Extraction Algorithm for Extracting Fetal Electrocardiogram

  • Author

    Zhang, Zhi-Lin ; Yi, Zhang

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
  • Volume
    1
  • fYear
    2005
  • Firstpage
    434
  • Lastpage
    437
  • Abstract
    This paper proposes an algorithm for extracting the fetal electrocardiogram (FECG), which exploits the time structure and high-order statistics of the FECG. To accelerate the convergence, a variable step-size strategy is adopted. Compared with the Barros´s algorithm, the proposed algorithm can rapidly obtain clearer FECGs. The validity and performance of the algorithm is confirmed by computer simulations and experiments on real-world data
  • Keywords
    electrocardiography; feature extraction; medical signal processing; obstetrics; fetal electrocardiogram; high-order statistics; time structure; variable step-size extraction algorithm; Acceleration; Computational intelligence; Computer science; Convergence; Data mining; Delay effects; Laboratories; Noise level; Source separation; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-9422-4
  • Type

    conf

  • DOI
    10.1109/ICNNB.2005.1614649
  • Filename
    1614649