TY - GEN
T1 - A Battery-Free Wireless EEG Transmission System Using Compressed Sensing and Powered by Body-Ambient Temperature Difference
T2 - 2026 IEEE International Conference on Consumer Electronics, ICCE 2026
AU - Kanemoto, Daisuke
AU - Yoshimoto, Kazane
AU - Motomochi, Shodai
AU - Hirose, Tetsuya
N1 - Publisher Copyright:
© 2026 IEEE.
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
KW - Expo 2025 demonstration
KW - battery-free systems
KW - compressed sensing
KW - low-power systems
KW - random undersampling
KW - thermoelectric energy harvesting
KW - waveform similarity
KW - wireless EEG transmission
UR - https://www.scopus.com/pages/publications/105037357762
U2 - 10.1109/ICCE67443.2026.11449878
DO - 10.1109/ICCE67443.2026.11449878
M3 - Conference contribution
AN - SCOPUS:105037357762
T3 - Digest of Technical Papers - IEEE International Conference on Consumer Electronics
BT - 2026 IEEE International Conference on Consumer Electronics, ICCE 2026
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 3 February 2026 through 5 February 2026
ER -