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로보스트 필터를 이용한 EEG신호의 스펙트럼 추정

Other Titles
 Power Spectrum Estimation of EEG Signal Using Robust Filter 
Authors
 김택수  ;  허재만  ;  김종순  ;  유선국  ;  박삭희 
Citation
 Journal of Biomedical Engineering Research (의공학회지), Vol.13(2) : 125-132, 1992-06 
Journal Title
Journal of Biomedical Engineering Research(의공학회지)
ISSN
 1229-0807 
Issue Date
1992-06
Abstract
Background EEG signals can be represented as the sum of a conventional AR process and an innovation process. It Is know that conventional estimation techniques, such as least square estimates (LSE) or Gaussian maximum likelihood estimates (MLE-G ) are optimal when the innovation process satisfies the Gaussian or presumed distribution. When the data are contaminated by outliers, however, these assumptions are not met and the power spectrum estimated by conventional estimation techniques may be fatally biased. EEG signal may be affected by artifacts, which are outliers in the statistical term. So the robust filtering estimation technique is used against those artifacts and it performs well for the contaminated EEG signal.
Files in This Item:
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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
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/186677
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