• DocumentCode
    2710963
  • Title

    VHDL Based Electro-Oculogram Signal Classification

  • Author

    Gandhi, T. ; Trikha, M. ; Santosh, J. ; Anand, S.

  • fYear
    2007
  • fDate
    18-21 Dec. 2007
  • Firstpage
    153
  • Lastpage
    158
  • Abstract
    technique for classification of multiple channel Electrooculogram signals (EOG) using VHDL based Hardware. The classifier is based on Deterministic Finite Automata (DFA). The system is capable of classifying sixteen different EOG signals. The viability of the system was tested by performing online experiments with able bodied subjects. Index Terms: DFA (Deterministic Finite Automata), EOG (Electro Oculogram), VHDL (Very High speed Hardware description Language
  • Keywords
    Automata; Biomedical computing; Biomedical engineering; Cornea; Doped fiber amplifiers; Electrodes; Electrooculography; Paper technology; Pattern classification; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Communications, 2007. ADCOM 2007. International Conference on
  • Conference_Location
    Guwahati, Assam
  • Print_ISBN
    0-7695-3059-1
  • Type

    conf

  • DOI
    10.1109/ADCOM.2007.129
  • Filename
    4425965
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2710963