Random Undersampling Wireless EEG Measurement Device using a Small TEG
Takuya Miyata, Daisuke Kanemoto, Tetsuya Hirose
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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$40\ \text{mm}\times 40\ \text{mm}$</tex> 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 <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$345\ \mu\mathrm{W}$</tex> to <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$97\ \mu\mathrm{W}$</tex> 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.