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Paper Abstract and Keywords
Presentation 2013-06-21 11:45
Optimization of EEG feature selection using electrical stimulation of muscle
Masato Sasaki, Kenta Nakamura, Yuki Temma, Shun Matsumoto (Kitami Inst. of Tech.), Tetsuo Ota (Asahikawa Med. Univ), Yasunari Hashimoto (Kitami Inst. of Tech.) MBE2013-20
Abstract (in Japanese) (See Japanese page) 
(in English) The integration of brain-machine interfaces (brain-computer interfaces) into rehabilitation settings is a promising new approach that enhances the whole rehabilitation process. In this context, it is necessary to develop a new method for selecting individual electroencephalogram (EEG) feature in short time. This study aimed to develop a method to estimate the EEG reaction for the hand movement using EEG synchronization patterns during the electrical stimulation to forearm muscles. We measured 31-channel whole head EEG from two healthy subjects during 20 Hz and 100 Hz stimulation and analyzed the EEG with the time-frequency map. In the results, the EEG synchronization patterns were observed even in the stimulation in the similar form of that during hand movement. In conclusion, the reactive EEG channels and frequency bands for hand movement can be identified with the EEG pattern during electrical stimulation. The results suggest that the current method is possibly used as a key technique for the stimulation driving brain-machine interfaces.
Keyword (in Japanese) (See Japanese page) 
(in English) Electroencephalogram / Electrical Stimulation / Brain-Machine Interface / Feature Selection / Stroke / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 103, MBE2013-20, pp. 27-31, June 2013.
Paper # MBE2013-20 
Date of Issue 2013-06-14 (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 2013-06-21 - 2013-06-21 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2013-06-MBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Optimization of EEG feature selection using electrical stimulation of muscle 
Sub Title (in English)  
Keyword(1) Electroencephalogram  
Keyword(2) Electrical Stimulation  
Keyword(3) Brain-Machine Interface  
Keyword(4) Feature Selection  
Keyword(5) Stroke  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Masato Sasaki  
1st Author's Affiliation Kitami Institute of Technology (Kitami Inst. of Tech.)
2nd Author's Name Kenta Nakamura  
2nd Author's Affiliation Kitami Institute of Technology (Kitami Inst. of Tech.)
3rd Author's Name Yuki Temma  
3rd Author's Affiliation Kitami Institute of Technology (Kitami Inst. of Tech.)
4th Author's Name Shun Matsumoto  
4th Author's Affiliation Kitami Institute of Technology (Kitami Inst. of Tech.)
5th Author's Name Tetsuo Ota  
5th Author's Affiliation Asahikawa Medical University (Asahikawa Med. Univ)
6th Author's Name Yasunari Hashimoto  
6th Author's Affiliation Kitami Institute of Technology (Kitami Inst. of Tech.)
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Speaker Author-1 
Date Time 2013-06-21 11:45:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2013-20 
Volume (vol) vol.113 
Number (no) no.103 
Page pp.27-31 
#Pages 5 
Date of Issue 2013-06-14 (MBE) 

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