title: Application of periodogram and AR spectral analysis to EEG signals.
abstract: In this study, in order to analyze the EEG signal, the conventional and modern spectral methods were investigated. Interpretation and performance of these methods were detected for clinical applications. For this purpose EEG data obtained from different persons were processed by PC computer using periodogram and AR model algorithms. Periodogram and AR modeling approaches were compared for their resolution and interpretation performance. It was determined that the AR approach is better for the use in clinical and research areas, because of the clear spectra that are obtained by it.
authors.affiliation: Department of Electrical Engineering, Dicle University, Diyarbakir/Turkey.
authors.forename: M
authors.initials: M
authors.lastname: Akin
authors.forename: M K
authors.initials: MK
authors.lastname: Kiymik
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004569:Electroencephalography / Q000379:methods* / Q000706:statistics & numerical data; D005583:Fourier Analysis; D006801:Humans; D008838:Microcomputers; D008959:Models, Neurological; D012815:Signal Processing, Computer-Assisted