AR spectral analysis of EEG signals by using maximum likelihood estimation

Guler İ., Kiymik M., Akin M., Alkan A.

COMPUTERS IN BIOLOGY AND MEDICINE, cilt.31, sa.6, ss.441-450, 2001 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 6
  • Basım Tarihi: 2001
  • Doi Numarası: 10.1016/s0010-4825(01)00022-1
  • Dergi Adı: COMPUTERS IN BIOLOGY AND MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.441-450
  • Anahtar Kelimeler: EEG, autoregressive method (AR), maximum likelihood estimation (MLE), fast Fourier transform (FFT)
  • Gazi Üniversitesi Adresli: Evet

Özet

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.