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Paper Abstract and Keywords
Presentation 2022-03-03 15:30
EEG style transfer for sleep stage scoring using deep learning
Naoki Omiya (Univ. of Tsukuba), Kazumasa Horie (CCS), Hiroyuki Kitagawa (IIIS) NC2021-66
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Biological signal processing / Autoencoder / Sleep stage scoring / Removal of noise and individual differences / / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 390, NC2021-66, pp. 106-111, March 2022.
Paper # NC2021-66 
Date of Issue 2022-02-23 (NC) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NC2021-66

Conference Information
Committee MBE NC  
Conference Date 2022-03-02 - 2022-03-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To NC 
Conference Code 2022-03-MBE-NC 
Language Japanese 
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)
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Speaker Author-1 
Date Time 2022-03-03 15:30:00 
Presentation Time 15 minutes 
Registration for NC 
Paper # NC2021-66 
Volume (vol) vol.121 
Number (no) no.390 
Page pp.106-111 
Date of Issue 2022-02-23 (NC) 

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