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 |
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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MICT2019-49 MBE2019-78 |
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) |
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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) |
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Keyword(1) |
surface EMG |
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redundant wavelet analysis |
Keyword(3) |
type of wavelet coefficient set |
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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 |
6 |
Date of Issue |
2020-01-18 (MICT, MBE) |
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