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Paper Abstract and Keywords
Presentation 2013-05-17 12:10
Study on Application of Electronic Stochastic Resonance to Non-invasive Biological Signal Detection
Yuri Imai, Seiya Kasai (Hokkaido Univ.) ED2013-29 CPM2013-14 SDM2013-36 Link to ES Tech. Rep. Archives: ED2013-29 CPM2013-14 SDM2013-36
Abstract (in Japanese) (See Japanese page) 
(in English) Detection of biological signal such as electromyography (EMG) is an important technology for the realization of man-machine interface such as myoelectric prosthesis or wearable remote controller. However, surface EMG obtained from the electrode of the skin surface is weak and inevitably buried in electrical noise. We propose a non-invasive detection method utilizing stochastic resonance (SR). We show that SR occurs with aperiodic myogenic potential by adding external noise. On the basis of this result, surface EMG is measured using noise intrinsically superimposed on the skin surface. The improvement of the sensitivity using a delayed network is also investigated.
Keyword (in Japanese) (See Japanese page) 
(in English) Stochastic resonance / Nonlinear / Biological signal / Electromyography / Non-invasive / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 39, ED2013-29, pp. 71-75, May 2013.
Paper # ED2013-29 
Date of Issue 2013-05-09 (ED, CPM, SDM) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
Copyright
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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 ED2013-29 CPM2013-14 SDM2013-36 Link to ES Tech. Rep. Archives: ED2013-29 CPM2013-14 SDM2013-36

Conference Information
Committee SDM ED CPM  
Conference Date 2013-05-16 - 2013-05-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Shizuoka Univ. (Hamamatsu) Graduate School of Sci. and Technol. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Crystal Growth, Characterization, Device, etc (compound semiconductors, Si, SiGe, optical and electronic materials) 
Paper Information
Registration To ED 
Conference Code 2013-05-SDM-ED-CPM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Application of Electronic Stochastic Resonance to Non-invasive Biological Signal Detection 
Sub Title (in English)  
Keyword(1) Stochastic resonance  
Keyword(2) Nonlinear  
Keyword(3) Biological signal  
Keyword(4) Electromyography  
Keyword(5) Non-invasive  
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Keyword(8)  
1st Author's Name Yuri Imai  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Seiya Kasai  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
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Speaker
Date Time 2013-05-17 12:10:00 
Presentation Time 25 
Registration for ED 
Paper # IEICE-ED2013-29,IEICE-CPM2013-14,IEICE-SDM2013-36 
Volume (vol) IEICE-113 
Number (no) no.39(ED), no.40(CPM), no.41(SDM) 
Page pp.71-75 
#Pages IEICE-5 
Date of Issue IEICE-ED-2013-05-09,IEICE-CPM-2013-05-09,IEICE-SDM-2013-05-09 


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