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뇌파 분석 시스템에서의 Artifact 제거를 위한 적응 기법에 관한 연구

Other Titles
 A Study on the Adaptive Technique for Artifact Cancelling in Electroencephalogram Analysis System 
 유선국  ;  김기만  ;  김남현 
 Journal of Biomedical Engineering Research (의공학회지), Vol.18(4) : 389-395, 1997 
Journal Title
Journal of Biomedical Engineering Research(의공학회지)
Issue Date
Several types of electrical artifact seen on electroencephalogram( EEG) records are described. Those are the EOG and the PVC roller pump noise, and so on. An adaptive digital filtering of the electroencephalogram( EEG) is a successful way of suppressing mains interference, but it affects some of the frequency components of the signal, whore artifacts may not be acceptable in some cafes of automatic EEG processing. Thus we studied the method for cancelling these artifacts. This proposed method does not use the reference channel, and is realized by connecting the linear predictor and the fixed FIR filter for the EOG artifact, and by cascading the linear predictor and the noise canceller for the pump artifact. The simulation results illustrate the performances of the proposed method in terms of the capability of interferences suppression. In the results we obtained about 20 dB noise reduction.
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Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Yoo, Sun Kook(유선국) ORCID logo https://orcid.org/0000-0002-6032-4686
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