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Paper Abstract and Keywords
Presentation 2015-01-22 13:25
Feature extraction of EEG topography for analyzing visual evoked potentials
Kazuhiko Goto, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ.), Hiroki Fukuda (Yame Rehabilitation Hospital), Yoshinobu Goto (IUHW), Takao Yamasaki, Shozo Tobimatsu (Kyushu Univ.) MBE2014-98
Abstract (in Japanese) (See Japanese page) 
(in English) Relationship between topographical distribution and condition of visual stimuli is one of significant items on the analysis of visual evoked potentials (VEPs). However, most of studies were not so quantitative way, but also qualitative one. This study investigated the establishment of the characteristic parameters those appropriately grasped the features of VEPs topography. Two methods for estimating the topographical maps were adopted and those results were compared. Characteristic parameters calculated from both the methods were similar tendencies for actual VEPs data. Those suggested that the parameters constructed here were applicable for quantitative analysis of relationship between VEP topography and visual stimulus condition.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual evoked potentials (VEPs) / topography / characterisitic parameters / / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 408, MBE2014-98, pp. 25-28, Jan. 2015.
Paper # MBE2014-98 
Date of Issue 2015-01-15 (MBE) 
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)
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Conference Information
Committee MBE  
Conference Date 2015-01-22 - 2015-01-23 
Place (in Japanese) (See Japanese page) 
Place (in English) Kumamoto University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2015-01-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Feature extraction of EEG topography for analyzing visual evoked potentials 
Sub Title (in English)  
Keyword(1) Visual evoked potentials (VEPs)  
Keyword(2) topography  
Keyword(3) characterisitic parameters  
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1st Author's Name Kazuhiko Goto  
1st Author's Affiliation Saga University (Saga Univ.)
2nd Author's Name Takenao Sugi  
2nd Author's Affiliation Saga University (Saga Univ.)
3rd Author's Name Yoshitaka Matsuda  
3rd Author's Affiliation Saga University (Saga Univ.)
4th Author's Name Satoru Goto  
4th Author's Affiliation Saga University (Saga Univ.)
5th Author's Name Hiroki Fukuda  
5th Author's Affiliation Yame Rehabilitation Hospital (Yame Rehabilitation Hospital)
6th Author's Name Yoshinobu Goto  
6th Author's Affiliation International University of Health and Welfare (IUHW)
7th Author's Name Takao Yamasaki  
7th Author's Affiliation Kyushu University (Kyushu Univ.)
8th Author's Name Shozo Tobimatsu  
8th Author's Affiliation Kyushu University (Kyushu Univ.)
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Speaker Author-1 
Date Time 2015-01-22 13:25:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2014-98 
Volume (vol) vol.114 
Number (no) no.408 
Page pp.25-28 
#Pages 4 
Date of Issue 2015-01-15 (MBE) 

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