Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Spectral Estimation of EEG signal by AR Model

AR 모델을 이용한 뇌파신호의 스펙트럼 추정

  • Ryo, D.K. (Dept. of Electrical Engineering, Yonsei University) ;
  • Kim, T.S. (Dept. of Electrical Engineering, Yonsei University) ;
  • Huh, J.M. (Dept. of Electrical Engineering, Yonsei University) ;
  • Yoo, S.K. (Dept. of Electrical Engineering, Soonchonhyang University) ;
  • Park, S.H. (Dept. of Electrical Engineering, Yonsei University)
  • 류동기 (연세대학교 공과대학 전기공학과) ;
  • 김택수 (연세대학교 공과대학 전기공학과) ;
  • 허재만 (연세대학교 공과대학 전기공학과) ;
  • 유선국 (순천향대학교 공과대학 전기공학과) ;
  • 박상희 (연세대학교 공과대학 전기공학과)
  • Published : 1990.11.16
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Abstract

EEG signal is analyzed by two methods, analysis by visual inspection of EEG recording sheets and analysis by quantative method. Generally visual inspection method is used in the clinical field. But this method has its limitation because EEG signal is random signal. Therefore it is necessary to analyze EEG signals quantatively to obtain more precise and objective information of neural and brain. In this paper, power spectrum of EEG signal was estimated by AR(AutoRegressive) model in the frequency domain. This process is useful as a preprocessing stage for tomographic brain mapping (TBM) at each frequency, band. As a method for estimating power spectral density of EEG signals, periodogram method, autocorrelation method. covariance method, modified covariance method, and Burg method are tested in this paper.

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