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Paper Abstract and Keywords
Presentation 2022-03-29 13:50
Classification of power spectra of EEG by non-negative matrix factorization
Kazuki Koyama, Mariko Ito (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2021-76 NLP2021-147
Abstract (in Japanese) (See Japanese page) 
(in English) It has been common for experts to manually and subjectively classify sleep stages in the experiments for the sleep of mice. Recently, however, automized methods for classification using supervised learning have been proposed. We attempt to determine the sleep stage by an unsupervised learning, Non-negative Matrix Factorization. By applying Non-negative Matrix Factorization to a large matrix incorporating power spectra of EEG of all the mice for each time window, we obtained the basis and activation matrices, where the former matrix exhibits the bases of power spectra. We examined whether we can determine the sleep stage of mice by comparing the activation corresponding to each basis with the label of sleep stage given by experts. In addition, we, for each mouse, obtained the basis matrix by applying Non-negative Matrix Factorization to the matrix of power spectrum for each mouse. We classified mice based on the similarity of the bases of power spectra. The result implies the existence of universal bases of power spectra for mice.
Keyword (in Japanese) (See Japanese page) 
(in English) Non-negative Matrix Factorization / EEG / power spectra / sleep stage classification / mouse / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 444, NLP2021-147, pp. 111-116, March 2022.
Paper # NLP2021-147 
Date of Issue 2022-03-21 (MSS, NLP) 
ISSN Online edition: ISSN 2432-6380
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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)
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Conference Information
Committee MSS NLP  
Conference Date 2022-03-28 - 2022-03-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) MSS, NLP, Work In Progress (MSS only), and etc. 
Paper Information
Registration To NLP 
Conference Code 2022-03-MSS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification of power spectra of EEG by non-negative matrix factorization 
Sub Title (in English)  
Keyword(1) Non-negative Matrix Factorization  
Keyword(2) EEG  
Keyword(3) power spectra  
Keyword(4) sleep stage classification  
Keyword(5) mouse  
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1st Author's Name Kazuki Koyama  
1st Author's Affiliation Rikkyo University (Rikkyo Univ.)
2nd Author's Name Mariko Ito  
2nd Author's Affiliation Rikkyo University (Rikkyo Univ.)
3rd Author's Name Masanori Sakaguchi  
3rd Author's Affiliation University of Tsukuba (Univ. Tsukuba)
4th Author's Name Takaaki Ohnishi  
4th Author's Affiliation Rikkyo University (Rikkyo Univ.)
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Speaker Author-1 
Date Time 2022-03-29 13:50:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # MSS2021-76, NLP2021-147 
Volume (vol) vol.121 
Number (no) no.443(MSS), no.444(NLP) 
Page pp.111-116 
#Pages
Date of Issue 2022-03-21 (MSS, NLP) 


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