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Paper Abstract and Keywords
Presentation 2015-08-04 10:50
Robust Detection Technique of Surface Myoelectric Signal Based on Stochastic Resonance Phenomenon and Multiple Surface Electrodes
Yuki Inden, Kento Shirata (Hokkaido Univ.), Takahide Oya (Yokohama National Univ.), Seiya Kasai (Hokkaido Univ.) ED2015-51
Abstract (in Japanese) (See Japanese page) 
(in English) Toward man-machine interface offering intuitively control, we investigate application of a nonlinear phenomenon, called as stochastic resonance to detect myoelectro signal, which optimizes the response to weak signal by adding noise. Carbon-nanotube (CNT)-composite paper was applied to surface electrode and was found to detect the myoelectric signal similar to the commercially available Ag/AgCl surface electrodes. We successfully demonstrated stable detection of the myoelectric signal in motion using the stochastic resonance system, which integrated Schmitt Trigger devices and the CNT-composite paper-based multiple surface electrodes. This system was also applied to control a robot arm.
Keyword (in Japanese) (See Japanese page) 
(in English) Nonlinear device / Stochastic resonance / Electromyography / Carbon-nanotube composite paper / Noise / Man-machine interface / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 170, ED2015-51, pp. 37-40, Aug. 2015.
Paper # ED2015-51 
Date of Issue 2015-07-27 (ED) 
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)
Download PDF ED2015-51

Conference Information
Committee ED  
Conference Date 2015-08-03 - 2015-08-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Sensor device, MEMS, etc 
Paper Information
Registration To ED 
Conference Code 2015-08-ED 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Robust Detection Technique of Surface Myoelectric Signal Based on Stochastic Resonance Phenomenon and Multiple Surface Electrodes 
Sub Title (in English)  
Keyword(1) Nonlinear device  
Keyword(2) Stochastic resonance  
Keyword(3) Electromyography  
Keyword(4) Carbon-nanotube composite paper  
Keyword(5) Noise  
Keyword(6) Man-machine interface  
Keyword(7)  
Keyword(8)  
1st Author's Name Yuki Inden  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Kento Shirata  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Takahide Oya  
3rd Author's Affiliation Yokohama National University (Yokohama National Univ.)
4th Author's Name Seiya Kasai  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker Author-1 
Date Time 2015-08-04 10:50:00 
Presentation Time 25 minutes 
Registration for ED 
Paper # ED2015-51 
Volume (vol) vol.115 
Number (no) no.170 
Page pp.37-40 
#Pages 4 
Date of Issue 2015-07-27 (ED) 

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