대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

대한전자공학회 (The Institute of Electronics and Information Engineers)
권호 표지

웨이브렛 변환과 파워 스펙트럼 분석을 이용한 EEG의 안정 상태 인식에 관한 고찰

Recognition of Stable State of EEG using Wavelet Transform and Power Spectrum Analysis

  • 김영서 (서울보건대학 의료공학과) ;
  • 길세기 (인하대학교 전자공학과) ;
  • 임선아 (인천대학교 정보통신공학과) ;
  • 민홍기 (인천대학교 정보통신공학과) ;
  • 허웅 (명지대학교 전자공학과) ;
  • 홍승홍 (인하대학교 전자공학과)
  • Kim, Young-Seo (Department of Biomedical Engineering, Seoul Health College) ;
  • Kil, Se-Kee (Department of Electronic Engineering, Inha University) ;
  • Lim, Seon-Ah (Department of Information & Telecom. Engineering, University of Incheon) ;
  • Min, Hong-Ki (Department of Information & Telecom. Engineering, University of Incheon) ;
  • Her, Woong (Department of Electronic Engineering, Myoungji University) ;
  • Hong, Seung-Hong (Department of Electronic Engineering, Inha University)
  • 발행 : 2006.06.21
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초록

The subject of this paper is to recognize the stable state of EEG using wavelet transform and power spectrum analysis. An alpha wave, showed in stable state, is dominant wave for a human EEG and a beta wave displayed excited state. We decomposed EEG signal into an alpha wave and a beta wave in the process of wavelet transform. And we calculated each power spectrum of EEG signal, an alpha wave and a beta wave using Fast Fourier Transform. We recognized the stable state by making a comparison between power spectrum ratios respectively.

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