Paper Abstract and Keywords |
Presentation |
2021-01-25 17:10
Low Power EEG Measurement Using Compressed Sensing Consideration of the Sampling Interval Yuki Okabe, Daisuke Kanemoto (Osaka Univ.), Tomoya Mochizuki (Yamanashi Univ.), Osamu Maida, Tetsuya Hirose (Osaka Univ.) VLD2020-53 CPSY2020-36 RECONF2020-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, wireless EEG measurement devices that cause less discomfort to the subject have attracted much attention. Therefore, it is necessary to reduce the size of the battery installed in the wireless EEG measurement device, and low power consumption of the circuit is required. We are investigating compressed sensing EEG measurement framework. In the past, A/D conversion with random under sampling was used for compressing the data and complete random sampling was used for compressed sensing. This method is expected to significantly reduce the power consumption of wireless devices. In this study, we investigated a method to control the sampling interval in compressed sensing in order to achieve further reduction of power consumption in the implemented circuit. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
EEG / low-power consumption / Compressed Sensing / Independent Component Analysis / Random-Matrix / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 337, VLD2020-53, pp. 80-84, Jan. 2021. |
Paper # |
VLD2020-53 |
Date of Issue |
2021-01-18 (VLD, CPSY, RECONF) |
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) |
Download PDF |
VLD2020-53 CPSY2020-36 RECONF2020-72 |
Conference Information |
Committee |
CPSY RECONF VLD IPSJ-ARC IPSJ-SLDM |
Conference Date |
2021-01-25 - 2021-01-26 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
FPGA Applications, etc. |
Paper Information |
Registration To |
VLD |
Conference Code |
2021-01-CPSY-RECONF-VLD-ARC-SLDM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Low Power EEG Measurement Using Compressed Sensing Consideration of the Sampling Interval |
Sub Title (in English) |
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Keyword(1) |
EEG |
Keyword(2) |
low-power consumption |
Keyword(3) |
Compressed Sensing |
Keyword(4) |
Independent Component Analysis |
Keyword(5) |
Random-Matrix |
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1st Author's Name |
Yuki Okabe |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Daisuke Kanemoto |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Tomoya Mochizuki |
3rd Author's Affiliation |
Yamanashi University (Yamanashi Univ.) |
4th Author's Name |
Osamu Maida |
4th Author's Affiliation |
Osaka University (Osaka Univ.) |
5th Author's Name |
Tetsuya Hirose |
5th Author's Affiliation |
Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2021-01-25 17:10:00 |
Presentation Time |
25 minutes |
Registration for |
VLD |
Paper # |
VLD2020-53, CPSY2020-36, RECONF2020-72 |
Volume (vol) |
vol.120 |
Number (no) |
no.337(VLD), no.338(CPSY), no.339(RECONF) |
Page |
pp.80-84 |
#Pages |
5 |
Date of Issue |
2021-01-18 (VLD, CPSY, RECONF) |
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