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Paper Abstract and Keywords
Presentation 2021-01-21 11:15
Performance Evaluation of EEG Source Localization Based on Lead Field Matrix
Takayoshi Moridera, Essam Rashed, Akimasa Hirata (NITech) EST2020-57
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, effective utilization of biosignals has been progressing in medical science and industrial applications. The brain activity can be considered as circuit network activity in the gray matter, and a small current is then generated in the corresponding area. The electric signals caused by this current can be measured as brain waves on scalp, and are used for preoperative diagnosis of diseases and estimation of treatment locations. However, in the clinical site, the human head is assumed as a sphere and tissues are represented in a simple manner, which may cause a notable estimation error on the source localization. In this study, we derived Lead Field Matrix (LFM) for several detailed human head models and we evaluated estimation accuracy due to model heterogeneity based on Matching Pursuit method which is one of sparse modeling. As a result, in noise-free environment, averaged estimation error was less than 1 mm in all models, suggesting that the influence of model heterogeneity is small. In high noise environment, averaged estimation error in the anatomical model and Non-Uniform model were 14.84 mm and 12.59 mm, respectively, we confirmed that the estimation accuracy varied with model heterogeneity.
Keyword (in Japanese) (See Japanese page) 
(in English) Electroencephalography (EEG) / Scalar-potential finite-difference (SPFD) method / Lead field matrix / Matching pursuit / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 328, EST2020-57, pp. 22-27, Jan. 2021.
Paper # EST2020-57 
Date of Issue 2021-01-14 (EST) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 EST2020-57

Conference Information
Committee EST  
Conference Date 2021-01-21 - 2021-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EST 
Conference Code 2021-01-EST 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of EEG Source Localization Based on Lead Field Matrix 
Sub Title (in English)  
Keyword(1) Electroencephalography (EEG)  
Keyword(2) Scalar-potential finite-difference (SPFD) method  
Keyword(3) Lead field matrix  
Keyword(4) Matching pursuit  
1st Author's Name Takayoshi Moridera  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
2nd Author's Name Essam Rashed  
2nd Author's Affiliation Nagoya Institute of Technology (NITech)
3rd Author's Name Akimasa Hirata  
3rd Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2021-01-21 11:15:00 
Presentation Time 25 minutes 
Registration for EST 
Paper # EST2020-57 
Volume (vol) vol.120 
Number (no) no.328 
Page pp.22-27 
Date of Issue 2021-01-14 (EST) 

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