Proceedings of the KOSOMBE Conference (대한의용생체공학회:학술대회논문집)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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A Study on the Elimination of ECG Artifact in Polysomnographic EEG and EOG using AR model

AR 모델을 이용한 수면중 뇌파 및 안전도 신호에서의 심전도 잡음 제거에 관한 연구

  • Park, H.J. (Interdisciplinary Program of Medical and Biological Engineering Major, Seoul Nat'l Univ.) ;
  • Han, J.M. (Interdisciplinary Program of Medical and Biological Engineering Major, Seoul Nat'l Univ.) ;
  • Jeong, D.U. (Dept. of Psychiatric Science, College of Medicine, Seoul Nat'l. Univ.) ;
  • Park, K.S. (Dept. of Biomedical Engineering, College of Medicine, Seoul Nat'l Univ.)
  • 박해정 (서울대학교 대학원 협동과정 의용생체공학 ) ;
  • 한주만 (서울대학교 대학원 협동과정 의용생체공학 ) ;
  • 정도언 (서울대학교 의과대학 정신과학교실) ;
  • 박광석 (서울대학교 의과대학 의공학교실)
  • Published : 1997.11.28
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Abstract

In this paper, we present the elimination of ECG artifact from the polysomnographic EEG and EOG. The idea of this method is that the ECG synchronized EEG segment is detected from ECG and regard samples of that segment a missing signal. After this, we used two interpolation methods to recover the missing segment. One is the Lagrange Polynomial Interpolation Method and the other is the Least Square Error AR Interpolation method. We tested those methods by applying to simulated signals. AR methods works well enough to reject the artifact about 10% of the main artifact level. We practically applied to real EEG and EOG signals. We also developed the algorithm to detect whether the artifact level is high or not. If the artifact level is high, then the interpolations are applied.

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