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로보스트 필터를 이용한 EEG신호의 스펙트럼 추정

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dc.contributor.author유선국-
dc.date.accessioned2021-12-27T17:28:49Z-
dc.date.available2021-12-27T17:28:49Z-
dc.date.issued1992-06-
dc.identifier.issn1229-0807-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/186677-
dc.description.abstractBackground 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.-
dc.description.statementOfResponsibilityopen-
dc.languageKorean-
dc.publisherThe Korea Society of Medical and Biological Engineering-
dc.relation.isPartOfJournal of Biomedical Engineering Research(의공학회지)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.title로보스트 필터를 이용한 EEG신호의 스펙트럼 추정-
dc.title.alternativePower Spectrum Estimation of EEG Signal Using Robust Filter-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Medical Engineering (의학공학교실)-
dc.contributor.googleauthor김택수-
dc.contributor.googleauthor허재만-
dc.contributor.googleauthor김종순-
dc.contributor.googleauthor유선국-
dc.contributor.googleauthor박삭희-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ01263-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.affiliatedAuthor유선국-
dc.citation.volume13-
dc.citation.number2-
dc.citation.startPage125-
dc.citation.endPage132-
dc.identifier.bibliographicCitationJournal of Biomedical Engineering Research (의공학회지), Vol.13(2) : 125-132, 1992-06-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers

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