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Paper Abstract and Keywords
Presentation 2024-03-14 15:40
Mouse EEG analysis based on nonlinear dynamics using permutation entropy
Kazuki Koyama (Rikkyo Univ.), Masanori Sakaguchi (Univ. Tsukuba), Takaaki Ohnishi (Rikkyo Univ.) MSS2023-96 NLP2023-148
Abstract (in Japanese) (See Japanese page) 
(in English) Embedding is a frequently used method in nonlinear time series analysis for analyzing EEG. To determine the necessary parameters, an embedding dimension and a time delay, correlation integration and autocorrelation function are commonly used. However, these methods can be sensitive to noise. To address this issue, permutation entropy, a noise-robust method, was used to estimate the parameters. The optimal embedding dimension and time delay were found to be $5$ and $39$ms, respectively. Additionally, the cumulative distribution function of permutation entropy enables differentiation between sleep stages that are challenging to classify using linear time series analysis.
Keyword (in Japanese) (See Japanese page) 
(in English) chaos / permutation entropy / embedding dimension / EEG / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 428, NLP2023-148, pp. 119-122, March 2024.
Paper # NLP2023-148 
Date of Issue 2024-03-06 (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)
Download PDF MSS2023-96 NLP2023-148

Conference Information
Committee NLP MSS  
Conference Date 2024-03-13 - 2024-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) MSS, NLP, etc. 
Paper Information
Registration To NLP 
Conference Code 2024-03-NLP-MSS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Mouse EEG analysis based on nonlinear dynamics using permutation entropy 
Sub Title (in English)  
Keyword(1) chaos  
Keyword(2) permutation entropy  
Keyword(3) embedding dimension  
Keyword(4) EEG  
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1st Author's Name Kazuki Koyama  
1st Author's Affiliation Rikkyo University (Rikkyo Univ.)
2nd Author's Name Masanori Sakaguchi  
2nd Author's Affiliation University of Tsukuba (Univ. Tsukuba)
3rd Author's Name Takaaki Ohnishi  
3rd Author's Affiliation Rikkyo University (Rikkyo Univ.)
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Speaker Author-1 
Date Time 2024-03-14 15:40:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # MSS2023-96, NLP2023-148 
Volume (vol) vol.123 
Number (no) no.427(MSS), no.428(NLP) 
Page pp.119-122 
#Pages 4 
Date of Issue 2024-03-06 (MSS, NLP) 

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