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
Link To Document :
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