Literature DB >> 19964104

Micropower non-contact EEG electrode with active common-mode noise suppression and input capacitance cancellation.

Yu M Chi1, Gert Cauwenberghs.   

Abstract

A non-contact EEG electrode with input capacitance neutralization and common-mode noise suppression circuits is presented. The coin sized sensor capacitively couples to the scalp without direct contact to the skin. To minimize the effect of signal attenuation and channel gain mismatch, the input capacitance of each sensor is actively neutralized using positive feedback and bootstrapping. Common-mode suppression is achieved through a single conductive sheet to establish a common mode reference. Each sensor electrode provides a differential gain of 60 dB. Signals are transmitted in a digital serial daisy-chain directly from a local 16-bit ADC, minimizing the number of wires required to establish a high density EEG sensor network. The micropower electrode consumes only 600 microW from a single 3.3 V supply.

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Year:  2009        PMID: 19964104     DOI: 10.1109/IEMBS.2009.5333527

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Preparation and characterization of a novel sprayable hydrogel for skin preparation to record ECG and other biopotentials.

Authors:  Sunil Tej Boppudi; Suliman Belal; Sitaramanjaneya Reddy Guntur
Journal:  Biomed Eng Lett       Date:  2020-07-29

2.  Flexible Graphene Electrodes for Prolonged Dynamic ECG Monitoring.

Authors:  Cunguang Lou; Ruikai Li; Zhaopeng Li; Tie Liang; Zihui Wei; Mingtao Run; Xiaobing Yan; Xiuling Liu
Journal:  Sensors (Basel)       Date:  2016-11-01       Impact factor: 3.576

3.  Intelligent Medical Garments with Graphene-Functionalized Smart-Cloth ECG Sensors.

Authors:  Murat Kaya Yapici; Tamador Elboshra Alkhidir
Journal:  Sensors (Basel)       Date:  2017-04-16       Impact factor: 3.576

4.  A Novel Analog Front End with Voltage-Dependent Input Impedance and Bandpass Amplification for Capacitive Biopotential Measurements.

Authors:  Hajime Nakamura; Yuichiro Sakajiri; Hiroshi Ishigami; Akinori Ueno
Journal:  Sensors (Basel)       Date:  2020-04-27       Impact factor: 3.576

  4 in total

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