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Paper Abstract and Keywords
Presentation 2020-01-25 14:40
Shift Selection Method for Wavelet Coefficient Set to Extract Features of Surface EMG Signals
Hidetoshi Nagai (KIT) MICT2019-49 MBE2019-78
Abstract (in Japanese) (See Japanese page) 
(in English) Common EMG features such as RMS and MPF represent the average characteristics in the short-term window. Therefore, when we want to capture the temporal change of the features in more detail, it is desirable to obtain the feature values based on the result of wavelet analysis, which has better temporal resolution. However, multiresolution analysis, which is a general discrete wavelet analysis method, has a problem of "lack of shift invariance". To avoid this problem, we perform redundant wavelet analysis. As the result, we can more flexibly select a set of wavelet coefficients by which we calculate feature values of a certain time. In this paper, we propose the method to select wavelet coefficients by shifting the time-frequency area of each frequency zone. And we describe how the wavelet coefficient sets cause difference in feature values.
Keyword (in Japanese) (See Japanese page) 
(in English) surface EMG / redundant wavelet analysis / type of wavelet coefficient set / center-of-balance of wavelet coefficients / wavelet-coefficient-based RMS / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 391, MBE2019-78, pp. 51-56, Jan. 2020.
Paper # MBE2019-78 
Date of Issue 2020-01-18 (MICT, MBE) 
ISSN 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 MICT  
Conference Date 2020-01-25 - 2020-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) KKR Hotel Kumamoto 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MBE 
Conference Code 2020-01-MBE-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Shift Selection Method for Wavelet Coefficient Set to Extract Features of Surface EMG Signals 
Sub Title (in English)  
Keyword(1) surface EMG  
Keyword(2) redundant wavelet analysis  
Keyword(3) type of wavelet coefficient set  
Keyword(4) center-of-balance of wavelet coefficients  
Keyword(5) wavelet-coefficient-based RMS  
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1st Author's Name Hidetoshi Nagai  
1st Author's Affiliation Kyushu Institute of Technology (KIT)
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Speaker Author-1 
Date Time 2020-01-25 14:40:00 
Presentation Time 20 minutes 
Registration for MBE 
Paper # MICT2019-49, MBE2019-78 
Volume (vol) vol.119 
Number (no) no.390(MICT), no.391(MBE) 
Page pp.51-56 
#Pages
Date of Issue 2020-01-18 (MICT, MBE) 


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