@inproceedings{2f5cac04e7234a20bd3f2fb98a015e85,
title = "Low-noise high input impedance 8-channels chopper-stabilized EEG acquisition system",
abstract = "This paper presents the design and implementation of an 8-channel low-noise chopper-stabilized analog front-end (AFE) for electroencephalogram (EEG) acquisition system. Each channel of the AFE is composed of an AC-coupled chopper instrumentation amplifier (ACCIA), a programmable gain amplifier (PGA), and a buffer. A positive feedback loop is adopted to boost its input impedance while the low-pass property suppresses the chopping ripple. The proposed AFE is implemented in 0.35 gm CMOS technology with the ADC, MUX, digital part and other control blocks. Post-layout simulation results show that the AFE achieves 46/52/58/64 dB programmable gain, 108 dB CMRR, and 0.32 μVrms input-referred noise for a bandwidth of 0.5-150 Hz. Each channel consumes 7.5 μA from a 3 V supply.",
keywords = "Chopping, EEG acquisition, Impedance boosting, Low noise, Low power, Neural amplifier",
author = "Zhengnan Yan and Mohamed Atef and Guoxing Wang and Yong Lian",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 30th IEEE International System on Chip Conference, SOCC 2017 ; Conference date: 05-09-2017 Through 08-09-2017",
year = "2017",
month = dec,
day = "18",
doi = "10.1109/SOCC.2017.8226005",
language = "English",
series = "International System on Chip Conference",
publisher = "IEEE Computer Society",
pages = "51--55",
editor = "Jurgen Becker and Ramalingam Sridhar and Hai Li and Ulf Schlichtmann and Massimo Alioto",
booktitle = "Proceedings - 30th IEEE International System on Chip Conference, SOCC 2017",
}