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Paper Abstract and Keywords
Presentation 2019-01-24 15:40
Detection of mouse sleep-stages using hidden Markov model and random forest
Shun Matsuzaki (The University of Tokyo), Masanori Sakaguchi (University of Tsukuba), Takaaki Ohnishi (The University of Tokyo) NLP2018-123
Abstract (in Japanese) (See Japanese page) 
(in English) Fully automatic determination of the sleep stages (non-REM, REM, arousal) of the mouse is important in improving the memory research.
Although FASTER is known as a main determination method, there is a problem that determination can not be made in real time.
Therefore, we proposed a sleep stage determination method by random forest and simple time series correction in 2018 using mouse brain wave data [1].
In this research, we improve it and propose sleep stage determination method using random forest and hidden Markov model.
By using the hidden Markov model, the information after one epoch, which was necessary in [1], becomes unnecessary, making it possible to make a more real time determination.

[1]松崎舜・坂口昌徳・大西立顕：
「ランダムフォレストによるマウスの脳波時系列を用いた睡眠ステージ判定」．
情報処理学会研究報告, vol. 2018-MPS-120, No.12, pp. 1-6.
Keyword (in Japanese) (See Japanese page) 
(in English) Random Forest / Hidden Markov Model / EEG / / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 413, NLP2018-123, pp. 143-148, Jan. 2019.
Paper # NLP2018-123 
Date of Issue 2019-01-16 (NLP) 
ISSN Print edition: ISSN 0913-5685    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)
Download PDF NLP2018-123

Conference Information
Committee NLP NC  
Conference Date 2019-01-23 - 2019-01-24 
Place (in Japanese) (See Japanese page) 
Place (in English) The Centennial Hall, Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General Implementation of Neuro Computing, Analysis and Modeling of Human Science, etc. 
Paper Information
Registration To NLP 
Conference Code 2019-01-NLP-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Detection of mouse sleep-stages using hidden Markov model and random forest 
Sub Title (in English)  
Keyword(1) Random Forest  
Keyword(2) Hidden Markov Model  
Keyword(3) EEG  
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1st Author's Name Shun Matsuzaki  
1st Author's Affiliation The University of Tokyo (The University of Tokyo)
2nd Author's Name Masanori Sakaguchi  
2nd Author's Affiliation University of Tsukuba (University of Tsukuba)
3rd Author's Name Takaaki Ohnishi  
3rd Author's Affiliation The University of Tokyo (The University of Tokyo)
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Speaker Author-1 
Date Time 2019-01-24 15:40:00 
Presentation Time 20 minutes 
Registration for NLP 
Paper # NLP2018-123 
Volume (vol) vol.118 
Number (no) no.413 
Page pp.143-148 
#Pages 6 
Date of Issue 2019-01-16 (NLP) 

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