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 |
Copyright and reproduction |
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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MSS2021-76 NLP2021-147 |
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) |
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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 |
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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 |
6 |
Date of Issue |
2022-03-21 (MSS, NLP) |
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