دورية أكاديمية

A 0.8-V 82.9- $\mu$ W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver.

التفاصيل البيبلوغرافية
العنوان: A 0.8-V 82.9- $\mu$ W In-Ear BCI Controller IC With 8.8 PEF EEG Instrumentation Amplifier and Wireless BAN Transceiver.
المؤلفون: Lee, Jaehyuk, Lee, Kyoung-Rog, Ha, Unsoo, Kim, Ji-Hoon, Lee, Kwonjoon, Gweon, Surin, Jang, Jaeeun, Yoo, Hoi-Jun
المصدر: IEEE Journal of Solid-State Circuits; Apr2019, Vol. 54 Issue 4, p1185-1195, 11p
مصطلحات موضوعية: ELECTROENCEPHALOGRAPHY, BRAIN-computer interfaces, LOW noise amplifiers, SYSTEMS on a chip, STEADY-state responses, INTEGRATED circuits
مستخلص: In-ear brain–computer interface (BCI) controller system is implemented with a dedicated system-on-chip (SoC) including electroencephalography (EEG) readout and body channel communication (BCC) transceiver (TRX). The 8-mm2 chip is fabricated using 65-nm CMOS and contains three key features: 1) current reusing low-noise amplifier (CRLNA) for low power; 2) bootstrapping dc servo loop (BDSL) enabling low-noise measurement even on 350-mV electrode dc offset (EDO); and 3) dual-mode programmable gain amplifier (DMPGA) that reduces TRX power consumption by activating only when the intentional blink is present. EEG instrumentation amplifier (IA) shows the state-of-the-art 8.8 power efficiency factor (PEF) performance, and the entire integrated circuit (IC) consumes 82.9 $\mu \text{W}$. From the measurement, with nine subjects, the proposed BCI system accomplished 84% average accuracy for the binary selection task. [ABSTRACT FROM AUTHOR]
Copyright of IEEE Journal of Solid-State Circuits is the property of IEEE and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:00189200
DOI:10.1109/JSSC.2018.2888845