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Paper Abstract and Keywords
Presentation 2017-07-29 09:25
The applicable condition of Hilbert Huang Coherence for Synchronization Analysis
Kensuke Omura, Masatake Akutagawa, Takahiro Emoto, Shinsuke Konaka, Yousuke Kinouchi (Tokushima Univ.), Yoshio Kaji (Tokushima Bunri Univ.), Kazuhiko Furukawa (Naruto Hospital), Fumio Shichijo (Suzue hospital) BioX2017-10 MBE2017-19
Abstract (in Japanese) (See Japanese page) 
(in English) When a parson carry out higher brain activity such as cognition and memory, EEGs recorded from differ- ent region contain same frequency component at the same time. This brain synchronization is related to memory and cognitive mechanisms. In previous study, Hilbert Huang Coherence Coherence(HHC) analysis using Hilbert Huang transform has been proposed as a method of analyzing the degree of synchronization. In this study, The applicable condition and effectiveness in synchronization degree analysis is investigated by numerical simulation. As result of simulation, The truth turned out that HHC’s ability to estimated synchronous frequecny and time is superior to Coherence analysis using Fourier and Morlet-Wavelet transform in synchronization degree analysis of the signal which has each frequency component more than twice as far apart.
Keyword (in Japanese) (See Japanese page) 
(in English) EEG / synchronization / Coherence / Hilbert Huang Transform / / / /  
Reference Info. IEICE Tech. Rep., vol. 117, no. 165, MBE2017-19, pp. 7-12, July 2017.
Paper # MBE2017-19 
Date of Issue 2017-07-22 (BioX, MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee MBE BioX  
Conference Date 2017-07-29 - 2017-07-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) ME, Biometrics, general 
Paper Information
Registration To MBE 
Conference Code 2017-07-MBE-BioX 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) The applicable condition of Hilbert Huang Coherence for Synchronization Analysis 
Sub Title (in English)  
Keyword(1) EEG  
Keyword(2) synchronization  
Keyword(3) Coherence  
Keyword(4) Hilbert Huang Transform  
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1st Author's Name Kensuke Omura  
1st Author's Affiliation Tokushima University (Tokushima Univ.)
2nd Author's Name Masatake Akutagawa  
2nd Author's Affiliation Tokushima University (Tokushima Univ.)
3rd Author's Name Takahiro Emoto  
3rd Author's Affiliation Tokushima University (Tokushima Univ.)
4th Author's Name Shinsuke Konaka  
4th Author's Affiliation Tokushima University (Tokushima Univ.)
5th Author's Name Yousuke Kinouchi  
5th Author's Affiliation Tokushima University (Tokushima Univ.)
6th Author's Name Yoshio Kaji  
6th Author's Affiliation Tokushima Bunri University (Tokushima Bunri Univ.)
7th Author's Name Kazuhiko Furukawa  
7th Author's Affiliation Naruto Hospital (Naruto Hospital)
8th Author's Name Fumio Shichijo  
8th Author's Affiliation Suzue hospital (Suzue hospital)
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Speaker Author-1 
Date Time 2017-07-29 09:25:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # BioX2017-10, MBE2017-19 
Volume (vol) vol.117 
Number (no) no.164(BioX), no.165(MBE) 
Page pp.7-12 
#Pages 6 
Date of Issue 2017-07-22 (BioX, MBE) 

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