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dc.contributor.author김영훈-
dc.date.accessioned2019-12-26T01:34:08Z-
dc.date.available2019-12-26T01:34:08Z-
dc.date.issued2018-07-
dc.identifier.citation2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Page. 183-186en_US
dc.identifier.isbn978-1-5386-3646-6-
dc.identifier.issn1558-4615-
dc.identifier.urihttps://ieeexplore.ieee.org/abstract/document/8512219-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/121398-
dc.description.abstractTraditional manual scoring of the entire sleep for diagnosis of sleep disorders is highly time-consuming and dependent to experts experience. Thus, automatic methods based on electrooculography (EOG) analysis have been increasingly attracted attentions to lower the cost of scoring. Such computeraided diagnosis of sleep disorders are usually based on the 6 scores, wake (W), sleep status (S1-S4) and REM by labelling every 30-second long EOG records. This paper presents an automatic scoring method of sleep stages by using the recent advancements in deep learning. We also suggest an interactive scoring scheme to enable the doctors of practitioners to give feedback by correcting errors and improve the accuracy of scoring as well as diagnosis of sleep disorders.en_US
dc.description.sponsorshipThis research was supported by Next-Generation Information Computing Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science, ICT & Future Planning (2017M3C4A7063570).en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleInteractive Sleep Stage Labelling Tool For Diagnosing Sleep Disorder Using Deep Learningen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/EMBC.2018.8512219-
dc.relation.page183-186-
dc.contributor.googleauthorLee, Woonghee-
dc.contributor.googleauthorKim, Younghoon-
dc.relation.code20180222-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF COMPUTER SCIENCE-
dc.identifier.pidnongaussian-
Appears in Collections:
COLLEGE OF COMPUTING(소프트웨어융합대학)[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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