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Paper Abstract and Keywords
Presentation 2009-11-13 14:20
A Topographic Analysis of Human Scalp Alpha EEG by the Complex-valued ICA
Zhan Zhang, Norihiro Katayama, Kazuma Watanabe (Tohoku Univ.), Hiroto Nakatani (DENSO), Akihiro Karashima, Mitsuyuki Nakao (Tohoku Univ.) MBE2009-69
Abstract (in Japanese) (See Japanese page) 
(in English) Sleepiness at the wheel is one of the causes of fatal crashes and highway accidents by car drivers. Since the EEG alpha activity occurs in association with the subjective sleepiness, and the alpha activities are observed in a mixed signal, aureate decomposition method has been required. In this study, we propose a method to decompose the time-delayed mixture of alpha source signals by using the time-frequency domain analysis and complex-valued independent component analysis. The method is applied to the human scalp EEG data to decompose the alpha activities occur associated with the subjective sleepiness during a driving simulation task. It is shown that this method provide information about not only the spatial distribution of alpha power (power map) generated by each source but also the phase difference among the recording site (phase map). The alpha power map and the phase map would be useful for the investigation of the mechanism of cortical alpha rhythms such as dipole estimation in the brain.
Keyword (in Japanese) (See Japanese page) 
(in English) Human electroencephalography (EEG) / Alpha rhythm / Time-frequency domain analysis / Independent component analysis / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 279, MBE2009-69, pp. 41-46, Nov. 2009.
Paper # MBE2009-69 
Date of Issue 2009-11-05 (MBE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 2009-11-12 - 2009-11-13 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) BCI/BMI and related topics, NC, ME, etc. 
Paper Information
Registration To MBE 
Conference Code 2009-11-NC-MBE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Topographic Analysis of Human Scalp Alpha EEG by the Complex-valued ICA 
Sub Title (in English)  
Keyword(1) Human electroencephalography (EEG)  
Keyword(2) Alpha rhythm  
Keyword(3) Time-frequency domain analysis  
Keyword(4) Independent component analysis  
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1st Author's Name Zhan Zhang  
1st Author's Affiliation Tohoku University (Tohoku Univ.)
2nd Author's Name Norihiro Katayama  
2nd Author's Affiliation Tohoku University (Tohoku Univ.)
3rd Author's Name Kazuma Watanabe  
3rd Author's Affiliation Tohoku University (Tohoku Univ.)
4th Author's Name Hiroto Nakatani  
4th Author's Affiliation DENSO CORPORATION Research Laboratories (DENSO)
5th Author's Name Akihiro Karashima  
5th Author's Affiliation Tohoku University (Tohoku Univ.)
6th Author's Name Mitsuyuki Nakao  
6th Author's Affiliation Tohoku University (Tohoku Univ.)
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Speaker Author-1 
Date Time 2009-11-13 14:20:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2009-69 
Volume (vol) vol.109 
Number (no) no.279 
Page pp.41-46 
#Pages
Date of Issue 2009-11-05 (MBE) 


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