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독립 요소 분석을 통한 Photoplethysmography에서의 동잡음 제거

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dc.contributor.author유선국-
dc.date.accessioned2015-07-15T17:05:23Z-
dc.date.available2015-07-15T17:05:23Z-
dc.date.issued2003-
dc.identifier.issn1229-6287-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/114204-
dc.description.abstractIn this paper, we propose the method that separates PPG signal and motion artifact signal from two input signals using new independent component analysis algorithm in time domain. In order to eliminate the large level artifact efficiently, block interleaving. lowpass time filtering and innovation processing technique were applied in ICA preprocessing, and FastICA algorithm were applicable. Experiments are made with the numerical simulation and the real PPG signal including four kinds of motion artifact pattern. Our results show that ICA can effectively detect, separate and remove motion artifact in input signals. Then from the separated signals we restore the original PPG signal and propose a new method which computes SpO2 using ICA mixing matrix.-
dc.description.statementOfResponsibilityopen-
dc.format.extent598~605-
dc.relation.isPartOf전기학회논문지 D-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHPhotoplethysmography-
dc.subject.MESHIndependent Component Analysis-
dc.subject.MESHmotion artifact reduction-
dc.title독립 요소 분석을 통한 Photoplethysmography에서의 동잡음 제거-
dc.title.alternativeThe Motion Artifact Reduction in Photoplethysmography Using Independent Component Analysis-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Medical Engineering (의학공학)-
dc.contributor.googleauthor김경하-
dc.contributor.googleauthor유선국-
dc.contributor.googleauthor김남현-
dc.contributor.googleauthor김병수-
dc.identifier.doiOAK-2003-01044-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ03252-
dc.identifier.urlhttp://www.dbpia.co.kr/Journal/ArticleDetail/1097304-
dc.subject.keywordPhotoplethysmography-
dc.subject.keywordIndependent Component Analysis-
dc.subject.keywordmotion artifact reduction-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.affiliatedAuthorYoo, Sun Kook-
dc.rights.accessRightsnot free-
dc.citation.volume52D-
dc.citation.number10-
dc.citation.startPage598-
dc.citation.endPage605-
dc.identifier.bibliographicCitation전기학회논문지 D, Vol.52D(10) : 598-605, 2003-
dc.identifier.rimsid52074-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers

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