대한의용생체공학회:학술대회논문집 (Proceedings of the KOSOMBE Conference)

대한의용생체공학회 (The Korean Society of Medical and Biological Engineering)
권호 표지

직렬로 연결된 적응 필터링을 이용한 EEG내의 잡음 제거

Noise Cancellation using Cascaded Adaptive Filtering in EEG

  • 김기만 (연세대학교 의과대학 의용공학교실) ;
  • 유선국 (연세대학교 의과대학 의용공학교실) ;
  • 김남현 (연세대학교 의과대학 의용공학교실)
  • Kim, K.M. (Department of Medical Engineering, College of Medicine, Yonsei University) ;
  • Yoo, S.K. (Department of Medical Engineering, College of Medicine, Yonsei University) ;
  • Kim, N.H. (Department of Medical Engineering, College of Medicine, Yonsei University)
  • 발행 : 1996.05.17
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

An adaptive digital filtering of the electroencophalogram(EEG) is a successful way of suppressing mains interference, but it affects some of the frequency components of the signal, an artifact which not be acceptable in some cases of automatic EEG processing. The types of electrical artifact seen on EEG records is described. Those are the EOG and the PVC roller pump noise. And we study the method for cancelling these artifacts. The method does not need the reference channel, and are obtained by cascading the linear predictor and the noise canceller. The simulation results illustrate the performances of the presented method in terms of the capability of interferences suppression.

키워드