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Open AccessArticle

High-CMRR Low-Noise Fully Integrated Front-End for EEG Acquisition Systems

1
Polystim Neurotech. Lab., Department of Electrical Engineering, Polytechnique Montreal, Montreal, QC H3T 1J4, Canada
2
Department of Microelectronics, Electronics Research Institute, Cairo 12622, Egypt
3
School of Engineering, Westlake University, 18 Shilongshan Street, Hangzhou 310024, China
4
Westlake Institute of Advanced Study, Hangzhou 310024, China
*
Author to whom correspondence should be addressed.
Electronics 2019, 8(10), 1157; https://doi.org/10.3390/electronics8101157 (registering DOI)
Received: 22 September 2019 / Revised: 4 October 2019 / Accepted: 7 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Nanoscale CMOS Technologies)
We present in this paper a fully integrated low-noise high common-mode rejection ratio (CMRR) logarithmic programmable gain amplifier (LPGA) and chopped LPGA circuits for EEG acquisition systems. The proposed LPGA is based on a rail-to-rail true logarithmic amplifier (TLA) stage. The high CMRR achieved in this work is a result of cascading three amplification stages to construct the LPGA in addition to the lower common-mode gain of the proposed logarithmic amplification topology. In addition, the 1 / f noise and the inherent DC offset voltage of the input transistors are reduced using a chopper stabilization technique. The CMOS 180 nm standard technology is used to implement the circuits. Experimental results for the integrated LPGA show a CMRR of 140 dB, a differential gain of 37 dB, an input-referred noise of 0.754 μ Vrms, a 189 μ W power consumption from 1.8 V power supply and occupies an active area of 0.4 mm 2 . View Full-Text
Keywords: EEG acquisition system; front-end amplifier; high CMRR; 1/f noise; logarithmic programmable gain amplifier; chopper stabilization technique EEG acquisition system; front-end amplifier; high CMRR; 1/f noise; logarithmic programmable gain amplifier; chopper stabilization technique
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Chebli, R.; Ali, M.; Sawan, M. High-CMRR Low-Noise Fully Integrated Front-End for EEG Acquisition Systems. Electronics 2019, 8, 1157.

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