Random Undersampling Wireless EEG Measurement Device using a Small TEG

Miyata, Takuya; Kanemoto, Daisuke; Hirose, Tetsuya

Proceedings - IEEE International Symposium on Circuits and Systems, 2023, 2023-May, 1-5

Number of Access:537（2025-08-14 01:38 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/97755

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Title
Random Undersampling Wireless EEG Measurement Device using a Small TEG
Creator
CreatorName
Miyata, Takuya
NRID
1000090603332 1000090603332
researchmap permalink
dkanemoto dkanemoto
Scopus Author ID
6504308983 6504308983
ORCID
0009-0002-7564-6351 0009-0002-7564-6351
CreatorName
Kanemoto, Daisuke
NRID
1000070396315 1000070396315
researchmap permalink
hirose_tetsuya hirose_tetsuya
Scopus Author ID
9272478400 9272478400
ORCID
0000-0003-1997-5097 0000-0003-1997-5097
CreatorName
Hirose, Tetsuya
Subject
compressed sensing
electroencephalogram
random undersampling
thermoelectric generator
Description
Miyata T., Kanemoto D., Hirose T.. Random Undersampling Wireless EEG Measurement Device using a Small TEG. Proceedings - IEEE International Symposium on Circuits and Systems 2023-May, (2023); https://doi.org/10.1109/ISCAS46773.2023.10181822.
Abstract
The realization of a compact wireless electroencephalogram (EEG) measurement device that can be used in daily life without concern for power consumption has garnered considerable attention. Thus, wireless EEG measurement devices with energy harvesting have been proposed, but there have been issues with harvester size and power output. In this study, we proposed and implemented a wireless EEG measurement device using compressed sensing, utilizing random undersampling and only a 40 mm × 40 mm small thermoelectric generator (TEG) as the power source. The results of the 4x compression experiment revealed a reduction in the power of the microcontroller from 345μW to 97μW at 3.3 V. This implies that a wireless EEG measurement device can operate well with a small TEG, even though the reconstructed signal is not inferior to the original signal, in which the average normalized mean square error is approximately 0.24.
Conference Information
Conference Name
2023 IEEE International Symposium on Circuits and Systems (ISCAS)
Conference Sequence
56
Conference Sponsor
IEEE
Conference Date
May 21th to May 25th, 2023
Conference Place
Monterey,Calfornia
Conference Country
United States of America
Publisher
Institute of Electrical and Electronics Engineers Inc.
Source Title
Proceedings - IEEE International Symposium on Circuits and Systems
Volume (Issue)
2023-May
Page
1-5
Date of Issued
2023-05-21
Language
English
Handle URL
https://hdl.handle.net/11094/97755
PISSN
02714310
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1109/ISCAS46773.2023.10181822
Access Rights
open access
CopyRight
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
oaire:version
Accepted Manuscript
Category
会議発表論文 Conference Paper