AR spectral analysis of EEG signals by using maximum likelihood estimation

Authors
Guler, I Kiymik, MK Akin, M Alkan, A
Citation
I. Guler et al., AR spectral analysis of EEG signals by using maximum likelihood estimation, COMPUT BIOL, 31(6), 2001, pp. 441-450
Citations number
10
Categorie Soggetti
Multidisciplinary
Journal title
COMPUTERS IN BIOLOGY AND MEDICINE
ISSN journal
00104825 → ACNP
Volume
31
Issue
6
Year of publication
2001
Pages
441 - 450
Database
ISI
SICI code
0010-4825(200111)31:6<441:ASAOES>2.0.ZU;2-D
Abstract
In this study, EEG signals were analyzed using autoregressive (AR) method. Parameters in AR method were realized by using maximum likelihood estimatio n (MLE). Results were compared with fast Fourier transform (FFT) method. It is observed that AR method gives better results in the analysis of EEG sig nals. On the other hand, the results have also showed that AR method can al so be used for some other researches and diagnosis of diseases. (C) 2001 El sevier Science Ltd. All rights reserved.