AR spectral analysis of EEG signals by using maximum likelihood estimation

被引：81

作者：

Güler, I ^{[1
]}

Kiymik, MK

Akin, M

Alkan, A

机构：

[1] Gazi Univ, Fac Tech Educ, Dept Elect Comp Educ, TR-06500 Ankara, Turkey

[2] Dicle Univ, Dept Elect Elect Engn, Diyarbakir, Turkey

[3] Kahramanmaras Sutcu Imam Univ, Dept Elect Elect Engn, TR-46001 Kahramanmaras, Turkey

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2001年 / 31卷 / 06期

关键词：

EEG; autoregressive method (AR); maximum likelihood estimation (MLE); fast Fourier transform (FFT);

D O I：

10.1016/S0010-4825(01)00022-1

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

In this study, EEG signals were analyzed using autoregressive (AR) method. Parameters in AR method were realized by using maximum likelihood estimation (MLE). Results were compared with fast Fourier transform (FFT) method. It is observed that AR method gives better results in the analysis of EEG signals. On the other hand, the results have also showed that AR method can also be used for some other researches and diagnosis of diseases. (C) 2001 Elsevier Science Ltd. All rights reserved.

引用

页码：441 / 450

页数：10

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