Kalman filter를 이용한 생체신호의 AR modelling

AR modelling for a biomedical signal using Kalman filter

  • 김대근 (서울대학교 공과대학 전기공학부) ;
  • 박해정 (서울대학교 의과대학 의공학교실) ;
  • 지영준 (서울대학교 의과대학 의공학교실) ;
  • 박광석 (서울대학교 의과대학 의공학교실) ;
  • 이충웅 (서울대학교 공과대학 전기공학부)
  • Kim, D.K. (School of Electrical Engineering, College of Engineering, Seoul Nat'l Univ.) ;
  • Park, H.J. (Department of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.) ;
  • Chee, Y.J. (Department of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.) ;
  • Park, K.S. (Department of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.) ;
  • Lee, C.W. (School of Electrical Engineering, College of Engineering, Seoul Nat'l Univ.)
  • 발행 : 1997.05.23

초록

In terms of a system identification, we present a method for autoregressive(AR) modelling of variious biomedical signal. Model order is estimated fly low rank approximation and coefficients are determined by innovation processes of Kalman filter derivation. An application of the method is given for visual evoked potentials.

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