Literature DB >> 23852553

A 160 μW 8-Channel Active Electrode System for EEG Monitoring.

R F Yazicioglu, B Grundlehner, P Harpe, K A A Makinwa, C Van Hoof.   

Abstract

This paper presents an active electrode system for gel-free biopotential EEG signal acquisition. The system consists of front-end chopper amplifiers and a back-end common-mode feedback (CMFB) circuit. The front-end AC-coupled chopper amplifier employs input impedance boosting and digitally-assisted offset trimming. The former increases the input impedance of the active electrode to 2 GΩ at 1 Hz and the latter limits the chopping induced output ripple and residual offset to 2 mV and 20 mV, respectively. Thanks to chopper stabilization, the active electrode achieves 0.8 μVrms (0.5-100 Hz) input referred noise. The use of a back-end CMFB circuit further improves the CMRR of the active electrode readout to 82 dB at 50 Hz. Both front-end and back-end circuits are implemented in a 0.18 μm CMOS process and the total current consumption of an 8-channel readout system is 88 μA from 1.8 V supply. EEG measurements using the proposed active electrode system demonstrate its benefits compared to passive electrode systems, namely reduced sensitivity to cable motion artifacts and mains interference.

Year:  2011        PMID: 23852553     DOI: 10.1109/TBCAS.2011.2170985

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  9 in total

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Journal:  IEEE Trans Biomed Circuits Syst       Date:  2012-12       Impact factor: 3.833

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Journal:  Front Neurosci       Date:  2021-06-02       Impact factor: 4.677

8.  A high-performance 8 nV/√Hz 8-channel wearable and wireless system for real-time monitoring of bioelectrical signals.

Authors:  Konstantinos Petkos; Simos Koutsoftidis; Thomas Guiho; Patrick Degenaar; Andrew Jackson; Stephen E Greenwald; Peter Brown; Timothy Denison; Emmanuel M Drakakis
Journal:  J Neuroeng Rehabil       Date:  2019-12-10       Impact factor: 4.262

Review 9.  A Review of Microelectronic Systems and Circuit Techniques for Electrical Neural Recording Aimed at Closed-Loop Epilepsy Control.

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Journal:  Sensors (Basel)       Date:  2020-10-08       Impact factor: 3.576

  9 in total

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