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dc.contributor.authorJ. W. Moon-
dc.contributor.authorChoi Junhyuk-
dc.contributor.authorE. Chong-
dc.contributor.authorKim, Seung-Jong-
dc.contributor.authorLEE, JONG MIN-
dc.contributor.authorKIM HYUNG MIN-
dc.date.accessioned2024-01-12T13:14:15Z-
dc.date.available2024-01-12T13:14:15Z-
dc.date.created2021-09-29-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/87850-
dc.languageEnglish-
dc.publisher7.11~15, 제주-
dc.subjectEEG-
dc.subjectBCI-
dc.subjectgait rehabilitation-
dc.subjectdeep learning-
dc.titleEEG-based Gait Intention Recognition of Subacute Stroke Patients Using Convolutional Neural Network-
dc.typeConference-
dc.description.journalClass1-
dc.identifier.bibliographicCitationAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)-
dc.citation.titleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)-
dc.citation.conferencePlaceUS-
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