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운동 의도에 따른 뇌파-근전도 신호 간 연결성 분석

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dc.contributor.author유선국-
dc.contributor.author장원석-
dc.date.accessioned2017-10-26T07:35:02Z-
dc.date.available2017-10-26T07:35:02Z-
dc.date.issued2016-
dc.identifier.issn1226-8593-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/152221-
dc.description.abstractThe brain and muscles both of which are composed of top-down structure occur the connectivity with the change of Electroencephalogram(EEG) and Electromyogram(EMG). In this paper, we studied the difference of functional connectivity between brain and muscles that by applying coherence method to EEG and EMG signals when users exercised upper limb with and without the movement intention. The changes in the EEG and EMG signals were inspected using coherence method. During the upper limb exercise, the mu (8~14 Hz) and beta (15~30 Hz) rhythms of the EEG signal at the motor cortex area are activated. And then the beta and piper (30~60 Hz) rhythms of the EMG signal are activated as well. The result of coherence analysis between EEG and EMG showed the coefficient of active exercise including movement intention is significantly higher than passive exercise. The coherence relations between cognitive response and muscle movement could interpret that the connectivity between the brain and muscle appear during active exercise with movement intention. The feature of coherence between brain and muscles by the status of movement intention will be useful in designing the rehabilitation system requiring feedback depending on the users’ movement intention status.-
dc.description.statementOfResponsibilityopen-
dc.formatapplication/pdf-
dc.languageKorean-
dc.publisher한국감성과학회-
dc.relation.isPartOfKorean Journal of the Science of Emotion & Sensibility (감성과학)-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.title운동 의도에 따른 뇌파-근전도 신호 간 연결성 분석-
dc.title.alternativeConnectivity Analysis Between EEG and EMG Signals by the Status of Njiovement Intention-
dc.typeArticle-
dc.publisher.locationKorea-
dc.contributor.collegeCollege of Medicine-
dc.contributor.departmentDept. of Medical Engineering-
dc.contributor.googleauthor김병남-
dc.contributor.googleauthor김연희-
dc.contributor.googleauthor김래현-
dc.contributor.googleauthor권규현-
dc.contributor.googleauthor장원석-
dc.contributor.googleauthor유선국-
dc.identifier.doi10.14695/KJSOS.2016.19.1.31-
dc.contributor.localIdA02471-
dc.relation.journalcodeJ02124-
dc.subject.keywordElectroencephalogram(EEG)-
dc.subject.keywordElectromyogram(EMG)-
dc.subject.keywordMovement Intention-
dc.subject.keywordCoherence-
dc.subject.keywordConnectivity-
dc.contributor.alternativeNameYoo, Sun Kook-
dc.contributor.affiliatedAuthorYoo, Sun Kook-
dc.citation.volume19-
dc.citation.number1-
dc.citation.startPage31-
dc.citation.endPage38-
dc.identifier.bibliographicCitationKorean Journal of the Science of Emotion & Sensibility, Vol.19(1) : 31-38, 2016-
dc.date.modified2017-10-24-
dc.identifier.rimsid47043-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers

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