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dc.contributor.authorJ. W. Moon-
dc.contributor.authorChoi Junhyuk-
dc.contributor.authorChong Eunsuk-
dc.contributor.authorChoi Tae Jin-
dc.contributor.authorKim, Seung-Jong-
dc.contributor.authorLEE, JONG MIN-
dc.contributor.author이지연-
dc.contributor.authorKIM HYUNG MIN-
dc.date.accessioned2024-01-12T13:14:08Z-
dc.date.available2024-01-12T13:14:08Z-
dc.date.created2021-09-29-
dc.identifier.issn2005-8446-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/87845-
dc.languageEnglish-
dc.publisher5.17~19, 제주-
dc.subjectEEG-
dc.subjectgait rehabilitation-
dc.subjectstroke-
dc.subjectdeep learning-
dc.titleEEG-based Gait Start Intention Recognition of Subacute Stroke Patients using Convolutional Neural Network-
dc.title.alternativeConvolutional Neural Network를 활용한 뇌전도 기반 아급성기 뇌졸중 환자의 보행시작 의도인식 연구-
dc.typeConference-
dc.description.journalClass2-
dc.identifier.bibliographicCitation한국정밀공학회 춘계학술대회-
dc.citation.title한국정밀공학회 춘계학술대회-
dc.citation.conferencePlaceKO-
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