• DocumentCode
    1743213
  • Title

    Adaptive filtering of EKG signals with little a priori information

  • Author

    Shen, Peggy ; Lindquist, Claude S.

  • Author_Institution
    Dept. of Electr. Eng., Santa Clara Univ., CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    Oct. 29 2000-Nov. 1 2000
  • Firstpage
    338
  • Abstract
    Adaptive filtering allows noisy signals to be analyzed. This paper examines different types of adaptive estimation filters for EKG signals having little a priori information.
  • Keywords
    Wiener filters; adaptive estimation; adaptive filters; electrocardiography; medical signal processing; smoothing methods; ECG signals; Wiener filter; adaptive estimation filters; adaptive filtering; little a priori information; noisy signals; optimum window smoothing; Adaptive algorithm; Adaptive filters; Biomedical computing; Biomedical engineering; Filtering algorithms; Heart; Information filtering; Information filters; Muscles; Smoothing methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-6514-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2000.910974
  • Filename
    910974
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1743213