A Battery-Free Wireless EEG Transmission System Using Compressed Sensing and Powered by Body–Ambient Temperature Difference: Outdoor Demonstration at Expo 2025

Kanemoto, Daisuke; Yoshimoto, Kazane; Motomochi, Shodai et al.

IEEE International Conference on Consumer Electronics (ICCE), 2026

Number of Access:109（2026-04-29 13:18 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/104356

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Title
A Battery-Free Wireless EEG Transmission System Using Compressed Sensing and Powered by Body–Ambient Temperature Difference: Outdoor Demonstration at Expo 2025
Creator
NRID
1000090603332 1000090603332
ORCID
0009-0002-7564-6351 0009-0002-7564-6351
researchmap permalink
dkanemoto dkanemoto
Scopus Author ID
6504308983 6504308983
CreatorName
Kanemoto, Daisuke
CreatorName
Yoshimoto, Kazane
CreatorName
Motomochi, Shodai
NRID
1000070396315 1000070396315
ORCID
0000-0003-1997-5097 0000-0003-1997-5097
researchmap permalink
hirose_tetsuya hirose_tetsuya
Scopus Author ID
9272478400 9272478400
CreatorName
Hirose, Tetsuya
Description
D. Kanemoto, K. Yoshimoto, S. Motomochi and T. Hirose. A Battery-Free Wireless EEG Transmission System Using Compressed Sensing and Powered by Body–Ambient Temperature Difference: Outdoor Demonstration at Expo 2025. 2026 IEEE International Conference on Consumer Electronics (ICCE), Dubai, United Arab Emirates, 2026; https://doi.org/10.1109/ICCE67443.2026.11449878.
Abstract
The sustainability of wearable sensing devices requires low-power operation. This study presents a battery-free wireless electroencephalography (EEG) transmission system powered solely by energy harvested via a thermoelectric generator. The system integrates compressed sensing (CS) with random undersampling and a waveform-similarity-based reconstruction basis, achieving a high compression ratio (CR) while preserving reconstruction accuracy. An outdoor demonstration at the Expo 2025 site in Osaka, Kansai, Japan confirmed stable on-device operation, including EEG digitization, compression, and wireless transmission, powered by the temperature difference between the body and the ambient air, with the ambient air temperature at 32.5–32.8°C, without forced airflow or external power. Using 100 segments from the CHB-MIT dataset (chb14), the proposed system was evaluated using a single fixed measurement matrix under the ambient temperature during the demonstration, yielding an average normalized mean square error of 0.047 with CR = 6. These results demonstrate the potential of CS as a next-generation battery-free biosensing platform.
Conference Information
Conference Name
2026 IEEE International Conference on Consumer Electronics (ICCE)
Conference Sponsor
IEEE
Conference Date
3-5 February 2026
Conference Venue
Raffles Hotel
Conference Place
Dubai
Conference Country
United Arab Emirates
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Source Title
IEEE International Conference on Consumer Electronics (ICCE)
Date of Issued
2026-03-27
Language
English
Handle URL
https://hdl.handle.net/11094/104356
Relation.isVersionOf
DOI (Publisher Version)
https://doi.org/10.1109/ICCE67443.2026.11449878
Access Rights
open access
CopyRight
© 2026 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