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Evaluation of Orthostatic Intolerance in Parkinson’s Disease Using Resting-State Hemodynamic Signals and Convolutional Neural Network

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dc.contributor.authorKim, Beop-Min-
dc.date.accessioned2021-08-27T13:39:23Z-
dc.date.available2021-08-27T13:39:23Z-
dc.date.created2021-04-22-
dc.date.issued2019-11-01-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/8605-
dc.publisher한국광학회-
dc.titleEvaluation of Orthostatic Intolerance in Parkinson’s Disease Using Resting-State Hemodynamic Signals and Convolutional Neural Network-
dc.title.alternativeEvaluation of Orthostatic Intolerance in Parkinson’s Disease Using Resting-State Hemodynamic Signals and Convolutional Neural Network-
dc.typeConference-
dc.contributor.affiliatedAuthorKim, Beop-Min-
dc.identifier.bibliographicCitationAnnual Biophotonics Conference 2019-
dc.relation.isPartOfAnnual Biophotonics Conference 2019-
dc.relation.isPartOfAnnual Biophotonics Conference 2019-
dc.citation.titleAnnual Biophotonics Conference 2019-
dc.citation.conferencePlaceKO-
dc.citation.conferenceDate2019-11-01-
dc.type.rimsCONF-
dc.description.journalClass2-
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