Paper Abstract and Keywords |
Presentation |
2018-06-22 13:25
Analysis of electroencephalogram changes during voluntary hand and foot movement. Sachiko Shiota, Yasunari Hashimoto (Kitami Inst. of. Tech.) MBE2018-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
INTRODUCTION: Recently, electroencephalographic (EEG) changes called event-related desynchronization (ERD) and event-related synchronization (ERS) became an attractive area of research. ERD/ERS was often caused by body movements. Although many researchers have investigated the method of extracting the left-right difference in ERD/ERS, the optimal EEG derivation method has yet to be determined. In addition, there are few studies in which hands and feet movements are recorded simultaneously in individuals, and subject variance of ERD/ERS value is not known well. Therefore, in this study, we hypothesize that some subject who shows the large left-right difference of ERD/ERS caused by hand movement also shows large difference in foot movements.
METHODS: Four healthy young subjects were recruited. EEG signals were recorded for 13 sites near on the sensorimotor cortex. The subject on a seat moved their left hand, right hand, left foot, or right foot in instructed order which displayed on a computer screen. In offline analysis, ERD/ERS of the four kinds of movements was calculated respectively. The ERD/ERS analyses was based on the Inter-trial variance method.
RESULTS: ERD was observed in the 10 Hz band in the contralateral hemisphere during hand movements for all four subjects, and ERS was observed the 20 Hz band with bipolar derivation in during foot movements. The left-right differences of ERD or ERS are unrelated and it does not prove our hypothesis. Meanwhile, the ERS by foot show larger left-right difference than ERD.
Discussion: It was suggested that 20 Hz ERS is effective to discriminate foot movement from EEG. Our result can be a basic knowledge of neuroscience and there is a possibility that it can be applied to real time EEG discrimination method in the future. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
EEG classification / Mu rhythm / Beta rhythm / Brain-machine interface / Event-related synchronization / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 106, MBE2018-14, pp. 39-42, June 2018. |
Paper # |
MBE2018-14 |
Date of Issue |
2018-06-15 (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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MBE2018-14 |
Conference Information |
Committee |
MBE |
Conference Date |
2018-06-22 - 2018-06-22 |
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Paper Information |
Registration To |
MBE |
Conference Code |
2018-06-MBE |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Analysis of electroencephalogram changes during voluntary hand and foot movement. |
Sub Title (in English) |
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EEG classification |
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Mu rhythm |
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Beta rhythm |
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Brain-machine interface |
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Event-related synchronization |
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1st Author's Name |
Sachiko Shiota |
1st Author's Affiliation |
Kitami Institute of Technology (Kitami Inst. of. Tech.) |
2nd Author's Name |
Yasunari Hashimoto |
2nd Author's Affiliation |
Kitami Institute of Technology (Kitami Inst. of. Tech.) |
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Speaker |
Author-1 |
Date Time |
2018-06-22 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
MBE |
Paper # |
MBE2018-14 |
Volume (vol) |
vol.118 |
Number (no) |
no.106 |
Page |
pp.39-42 |
#Pages |
4 |
Date of Issue |
2018-06-15 (MBE) |
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