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Paper Abstract and Keywords
Presentation 2012-11-17 09:30
Prediction of Joint angle from Muscle Activities decoded from Electrocorticograms in Primary Motor Cortex
Duk Shin, Yasuhiko Nakanishi, Hiroyuki Kambara, Natsue Yoshimura (Tokyo Inst. of Tech.), Hidenori Watanabe, Atsushi Nambu, Tadashi Isa, Yukio Nishimura, Yasuharu Koike (NIPS) MBE2012-57 NC2012-62
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, Electrocorticography (ECoG) has drawn attention as an effective recording approach for less invasive brain-machine interfaces (BMI). Previous studies succeeded in classifying the movement intention and predicting hand trajectories from ECoGs. Despite such successful studies, there still remain considerable works for the purpose of realizing an ECoG-based BMI robot. We developed a method to predict multiple muscle activities from ECoG measurements. We also verified that ECoG signals could be effective for predicting muscle activities in time varying series for preforming sequential movements. Each ECoG signal was filtered by different bandpass filters for sensorimotor rhythms, normalized by the standard z-score, and smoothed by a Gaussian filter. We used sparse linear regression to find the best fit between frequency bands of ECoG and electromyogram (EMG). We also predicted angle of 4 DOF robot arm from the decoded EMG using 3-layer neural network. Consequently, this study shows that it could derive online prediction of angle of robot arm from ECoG signals.
Keyword (in Japanese) (See Japanese page) 
(in English) BMI / ECoG / EMG / decoding / Angle / / /  
Reference Info. IEICE Tech. Rep., vol. 112, no. 297, MBE2012-57, pp. 61-64, Nov. 2012.
Paper # MBE2012-57 
Date of Issue 2012-11-09 (MBE, NC) 
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 MBE NC  
Conference Date 2012-11-16 - 2012-11-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Tohoku University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) BCI/BMI, NC and MBE 
Paper Information
Registration To MBE 
Conference Code 2012-11-MBE-NC 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Prediction of Joint angle from Muscle Activities decoded from Electrocorticograms in Primary Motor Cortex 
Sub Title (in English)  
Keyword(1) BMI  
Keyword(2) ECoG  
Keyword(3) EMG  
Keyword(4) decoding  
Keyword(5) Angle  
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Keyword(7)  
Keyword(8)  
1st Author's Name Duk Shin  
1st Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
2nd Author's Name Yasuhiko Nakanishi  
2nd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
3rd Author's Name Hiroyuki Kambara  
3rd Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
4th Author's Name Natsue Yoshimura  
4th Author's Affiliation Tokyo Institute of Technology (Tokyo Inst. of Tech.)
5th Author's Name Hidenori Watanabe  
5th Author's Affiliation National Institute for Physiological Sciences (NIPS)
6th Author's Name Atsushi Nambu  
6th Author's Affiliation National Institute for Physiological Sciences (NIPS)
7th Author's Name Tadashi Isa  
7th Author's Affiliation National Institute for Physiological Sciences (NIPS)
8th Author's Name Yukio Nishimura  
8th Author's Affiliation National Institute for Physiological Sciences (NIPS)
9th Author's Name Yasuharu Koike  
9th Author's Affiliation National Institute for Physiological Sciences (NIPS)
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Speaker Author-1 
Date Time 2012-11-17 09:30:00 
Presentation Time 25 minutes 
Registration for MBE 
Paper # MBE2012-57, NC2012-62 
Volume (vol) vol.112 
Number (no) no.297(MBE), no.298(NC) 
Page pp.61-64(MBE), pp.5-8(NC) 
#Pages
Date of Issue 2012-11-09 (MBE, NC) 


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