• DocumentCode
    3628389
  • Title

    An approach to the EOG signal segmentation based on fuzzy reasoning

  • Author

    Tomasz Przybyla;Tomasz Pander;Robert Czabanski

  • Author_Institution
    Division of Biomedical Electronics, Silesian University of Technology, Gliwice, Poland
  • fYear
    2008
  • Firstpage
    710
  • Lastpage
    713
  • Abstract
    In this paper we presented an approach to segmentation of an electrooculography (EOG) signal. For segmentation we have used the elements of the fuzzy set theory. Results obtained in our numerical experiments show usefulness of proposed approach. Our method can be also used for the generating of a learning set necessary for the neural networks or the fuzzy-neural systems training.
  • Keywords
    "Electrooculography","Estimation","Object segmentation","Prototypes","Clustering methods","Electric potential","Artificial neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Human System Interactions, 2008 Conference on
  • ISSN
    2158-2246
  • Print_ISBN
    978-1-4244-1542-7
  • Electronic_ISBN
    2158-2254
  • Type

    conf

  • DOI
    10.1109/HSI.2008.4581528
  • Filename
    4581528
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3628389