대한전자공학회:학술대회논문집 (Proceedings of the IEEK Conference)

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

EEG 패턴인식

EEG Pattern Recognition

  • 이용구 (한림성심대학 의료기기정보과) ;
  • 정경권 (동국대학교 전자공학과) ;
  • 엄기환 (동국대학교 전자공학과)
  • Lee, Yong-Gu (Dept. of Medical Instrument and Information, Hallym College) ;
  • Jung, Kyung-Kwon (Dept. of Electronic Engineering, Dongguk University) ;
  • Eom, Ki-Hwan (Dept. of Electronic Engineering, Dongguk University)
  • 발행 : 2006.06.21
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초록

We measured EEG, extracted the feature vectors using alpha and beta rhythm from the measured EEG and pattern recognition was simulated by using the feature vector and the algorithms which are conventional LVQ and Forward only Counter Propagation Networks. And then the successful rate of pattern class of EEG data had about 76 %.

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