• DocumentCode
    152935
  • Title

    Analysis of normal and epileptic EEG signals with filtering methods

  • Author

    Gur, Duygu ; Kaya, Tolga ; Turk, M.

  • Author_Institution
    Elektr. ve Elektron. Muhendisligi Bolumu, Firat Univ., Elazığ, Turkey
  • fYear
    2014
  • fDate
    23-25 April 2014
  • Firstpage
    1877
  • Lastpage
    1880
  • Abstract
    EEG signals taken from brain surface have low amplitude and low frequency band and are nonstationary biological signals. The other electrical signals in the environment and originated from the voluntary-involuntary movements of the person may cause additional noise. So EEG records, like other biological signals, requires accurate measurement. In this study, normal/ epileptic EEG signals in relating to the WAG / Rij rats, high frequency and low frequency noise were suppressed by moving average filter and derivative-based filter, respectively. Then, the frequency spectrum of the signals were presented. Thus, it was aimed to diagnose illness by comparing the frequency band of signals concentrated intended.
  • Keywords
    electroencephalography; filtering theory; medical signal processing; Rij rats; WAG rats; brain surface; electrical signals; epileptic EEG signal; filtering method; frequency spectrum; illness diagnosis; normal EEG signal; voluntary-involuntary movement; Biology; Conferences; Electroencephalography; Finite impulse response filters; Wavelet transforms; EEG; derivative based filter; epilepsy; fourier transform; moving avaraged filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2014 22nd
  • Conference_Location
    Trabzon
  • Type

    conf

  • DOI
    10.1109/SIU.2014.6830620
  • Filename
    6830620