• DocumentCode
    3096265
  • Title

    Independent Component Analysis of Parameterized Electrocardiogram Signals

  • Author

    Tanskanen, J.M.A. ; Viik, Jari J. ; Hyttinen, Jari A K

  • Author_Institution
    Ragnar Granit Inst., Tampere Univ. of Technol.
  • fYear
    2006
  • fDate
    7-9 June 2006
  • Firstpage
    230
  • Lastpage
    233
  • Abstract
    Independent component analysis (ICA) of measured signals yields the independent sources, given certain fulfilled requirements. Properly parameterized signals may provide a better view to the considered system aspects, while reducing the amount of data. It is little acknowledged that appropriately parameterized signals may be subjected to ICA, yielding independent components displaying more clearly the investigated properties of the sources. In this paper, we propose ICA of parameterized signals, and demonstrate the concept with a set of electrocardiogram (ECG) measurements and their selected parameterizations
  • Keywords
    electrocardiography; independent component analysis; medical signal processing; ECG measurement; ICA; independent component analysis; parameterized electrocardiogram signals; Biomedical measurements; Coronary arteriosclerosis; Electrocardiography; Independent component analysis; Integrated circuit modeling; Iterative algorithms; Personnel; Signal processing; Time measurement; Uniform resource locators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Symposium, 2006. NORSIG 2006. Proceedings of the 7th Nordic
  • Conference_Location
    Rejkjavik
  • Print_ISBN
    1-4244-0412-6
  • Electronic_ISBN
    1-4244-0413-4
  • Type

    conf

  • DOI
    10.1109/NORSIG.2006.275230
  • Filename
    4052225