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Paper Abstract and Keywords
Presentation 2014-06-26 15:00
Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection
Yuki Kaneda, Sho Sonoda (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba), Noboru Murata (Waseda Univ.) NC2014-5 IBISML2014-5
Abstract (in Japanese) (See Japanese page) 
(in English) In this study, the location, the moment and the number of ionic current modeled as dipoles are estimated from EEG data. The source localization problem is formulated as an inverse problem of the EEG generative model and the location and moment of dipoles are estimated by multiple particle filters. The appropriate number of dipoles is selected by a model selection criterion. The proposed method is shown to estimate accurately the locations and moments of dipoles of appropriate numbers. The proposed method is also applied to pattern reversal VEP data and shown to estimate the locations and the moments and the number of the dipoles.
Keyword (in Japanese) (See Japanese page) 
(in English) source localization problem / particle filter / model selection / EEG / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 105, IBISML2014-5, pp. 91-96, June 2014.
Paper # IBISML2014-5 
Date of Issue 2014-06-18 (NC, IBISML) 
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 NC2014-5 IBISML2014-5

Conference Information
Committee NC IPSJ-BIO IBISML IPSJ-MPS  
Conference Date 2014-06-25 - 2014-06-27 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Institute of Science and Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Machine Learning Approach to Biodata Mining, and General 
Paper Information
Registration To IBISML 
Conference Code 2014-06-NC-BIO-IBISML-MPS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection 
Sub Title (in English)  
Keyword(1) source localization problem  
Keyword(2) particle filter  
Keyword(3) model selection  
Keyword(4) EEG  
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1st Author's Name Yuki Kaneda  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Sho Sonoda  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Hideitsu Hino  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
4th Author's Name Noboru Murata  
4th Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2014-06-26 15:00:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # NC2014-5, IBISML2014-5 
Volume (vol) vol.114 
Number (no) no.104(NC), no.105(IBISML) 
Page pp.91-96 
#Pages 6 
Date of Issue 2014-06-18 (NC, IBISML) 

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