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Paper Abstract and Keywords
Presentation 2022-09-29 15:00
Examination of EEG preprocessing method using temporal characteristics of visual evoked potentials
Kazuhiko Goto (TMCIT) MBE2022-17
Abstract (in Japanese) (See Japanese page) 
(in English) Visual evoked potentials (VEP) amplitudes are lower than EEG and artifacts, so the recorded data contain a mixture of VEP, EEG and artifacts. VEP are generally extracted using the additive averaging method. However, if EEG and artifacts in the recorded data are large, components other than VEP remain in the averaged waveform. In this study, we propose a preprocessing method to decompose the recorded data by empirical mode decomposition and to exclude the parts of the decomposed waveforms that are different from the temporal characteristics of VEP. To evaluate the effectiveness of the proposed method, we applied the proposed method to simulated and actual recorded data.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual Evoked Potentials (VEP) / Averaging Method / Empirical Mode Decomposition (EMD) / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 194, MBE2022-17, pp. 7-12, Sept. 2022.
Paper # MBE2022-17 
Date of Issue 2022-09-22 (MBE) 
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)
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Conference Information
Committee NC MBE  
Conference Date 2022-09-29 - 2022-09-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Brain Architecture, NC, ME 
Paper Information
Registration To MBE 
Conference Code 2022-09-NC-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Examination of EEG preprocessing method using temporal characteristics of visual evoked potentials 
Sub Title (in English)  
Keyword(1) Visual Evoked Potentials (VEP)  
Keyword(2) Averaging Method  
Keyword(3) Empirical Mode Decomposition (EMD)  
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1st Author's Name Kazuhiko Goto  
1st Author's Affiliation Tokyo Metropolitan College of Industrial Technology (TMCIT)
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Speaker Author-1 
Date Time 2022-09-29 15:00:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2022-17 
Volume (vol) vol.122 
Number (no) no.194 
Page pp.7-12 
#Pages
Date of Issue 2022-09-22 (MBE) 


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