Presentation 2022-03-03
EEG style transfer for sleep stage scoring using deep learning
Naoki Omiya, Kazumasa Horie, Hiroyuki Kitagawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Sleep stage scoring is a clinical inspection to identify in which sleep stages the patients are from their biological signals. Several automated sleep stage scoring systems based on machine learning have been proposed, but their accuracies are quite low in some cases; the difference in the biological signals caused by noise or individual differences leads to decrease the scoring accuracy of these systems. In this study, we developed a signal transformation technique based on the style transfer to reduce the biological signal components that lead low scoring accuracies and to enhance the components that are necessary for sleep stage scoring. Our method suppressed some signal components unnecessary for stage scoring, but didn't improve the performance of the existing stage scoring model.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Biological signal processing / Autoencoder / Sleep stage scoring / Removal of noise and individual differences
Paper # NC2021-66
Date of Issue 2022-02-23 (NC)

Conference Information
Committee MBE / NC
Conference Date 2022/3/2(3days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Ryuhei Okuno(Setsunan Univ.) / Rieko Osu(Waseda Univ.)
Vice Chair Junichi Hori(Niigata Univ.) / Hiroshi Yamakawa(Univ of Tokyo)
Secretary Junichi Hori(Osaka Electro-Communication Univ) / Hiroshi Yamakawa(ATR)
Assistant Jun Akazawa(Meiji Univ. of Integrative Medicine) / Emi Yuda(Tohoku Univ) / Nobuhiko Wagatsuma(Toho Univ.) / Tomoki Kurikawa(KMU)

Paper Information
Registration To Technical Committee on ME and Bio Cybernetics / Technical Committee on Neurocomputing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) EEG style transfer for sleep stage scoring using deep learning
Sub Title (in English)
Keyword(1) Biological signal processing
Keyword(2) Autoencoder
Keyword(3) Sleep stage scoring
Keyword(4) Removal of noise and individual differences
1st Author's Name Naoki Omiya
1st Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
2nd Author's Name Kazumasa Horie
2nd Author's Affiliation Center for Computational Sciences(CCS)
3rd Author's Name Hiroyuki Kitagawa
3rd Author's Affiliation International Institute for Integrative Sleep Medicine(IIIS)
Date 2022-03-03
Paper # NC2021-66
Volume (vol) vol.121
Number (no) NC-390
Page pp.pp.106-111(NC),
#Pages 6
Date of Issue 2022-02-23 (NC)