Automatic Sleep Stage Classification with Multiclass Support Vector Machines Using Forehead and In-Ear EEG Electrodes

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 267
  • Download : 0
DC FieldValueLanguage
dc.contributor.authorJeong, Dong-Hwako
dc.contributor.authorJeong, Jaeseungko
dc.contributor.authorKim, Pyeong Sooko
dc.contributor.authorLee, Jeungminko
dc.date.accessioned2019-01-23T05:24:34Z-
dc.date.available2019-01-23T05:24:34Z-
dc.date.created2018-12-28-
dc.date.issued2018-10-11-
dc.identifier.citation2018 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018)-
dc.identifier.urihttp://hdl.handle.net/10203/249389-
dc.languageEnglish-
dc.publisherPolytechnic University of Bari-
dc.titleAutomatic Sleep Stage Classification with Multiclass Support Vector Machines Using Forehead and In-Ear EEG Electrodes-
dc.typeConference-
dc.type.rimsCONF-
dc.citation.publicationname2018 3rd International Conference on Biomedical Imaging, Signal Processing (ICBSP 2018)-
dc.identifier.conferencecountryIT-
dc.identifier.conferencelocationPolytechnic University of Bari-
dc.contributor.localauthorJeong, Jaeseung-
Appears in Collection
BiS-Conference Papers(학술회의논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0