Literature DB >> 22153322

Wireless instrumentation system based on dry electrodes for acquiring EEG signals.

Nuno Sérgio Dias1, João Paulo Carmo, Paulo Mateus Mendes, José Higino Correia.   

Abstract

This paper presents a complete non-invasive Wireless acquisition system based on dry electrodes for electroencephalograms (WiDE-EEG) with emphasis in the electronic system design. The WiDE-EEG is composed by a 2.4 GHz radio-frequency (RF) transceiver, biopotential acquisition electronics and dry electrodes. The WiDE-EEG can acquire electroencephalogram (EEG) signals from 5 unipolar channels, with a resolution of 16 bits and minimum analog amplitude of 9.98 μV(pp), at a sampling rate of 1000 samples/s/channel and sends them to a processing unit through RF in a 10 m range. The analog channels were optimized for EEG signals (with amplitudes in the range 70-100 μV) and present the following characteristics: a signal gain of 66 dB and a common mode rejection ratio of 56.5 dB. Each electrode is composed by 16 microtip structures that were fabricated through bulk micromachining of a <100>-type silicon substrate in a potassium hydroxide (KOH) solution. The microtips present solid angles of 54.7°, a height of 100-200 μm and 2 μm spaced apart. The electrodes have a thin layer (obtained by sputtering) of iridium oxide (IrO) to guaranty their biocompatibility and improve the contact with the skin. These dry electrodes are in direct contact with the electrolyte fluids of the inner skin layers, and avoid the use of conductive gels. The complete WiDE-EEG occupies a volume of 9 cm×8.5 cm×1 cm, which makes it suitable for true mobility of the subjects and at the same time allows high data transfer rates. Since the WiDE-EEG is battery-powered, it overcomes the need of galvanic isolation for ensuring patient safety observed on conventional EEG instrumentation systems. The WiDE-EEG presents a total power consumption of 107 mW, divided as follows: the acquisition system contributes with 10 mW per channel, whereas the commercial MICAz module contributes with 57 mW (e.g., 24 mW from the microcontroller and 33 mW from the RF chip). The WiDE-EEG also presents autonomy of about 25 h with two class AA 1.5 V batteries.
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22153322     DOI: 10.1016/j.medengphy.2011.11.002

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  4 in total

1.  Acquisition technology research of EEG and related physiological signals under +Gz acceleration.

Authors:  Y Li; T Zhang; L Deng; B Wang
Journal:  Ir J Med Sci       Date:  2013-07-17       Impact factor: 1.568

Review 2.  Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach.

Authors:  Simon Ladouce; David I Donaldson; Paul A Dudchenko; Magdalena Ietswaart
Journal:  Front Hum Neurosci       Date:  2017-01-12       Impact factor: 3.169

Review 3.  Dry Electrodes for Human Bioelectrical Signal Monitoring.

Authors:  Yulin Fu; Jingjing Zhao; Ying Dong; Xiaohao Wang
Journal:  Sensors (Basel)       Date:  2020-06-29       Impact factor: 3.576

4.  Neurobehavioural signatures in race car driving: a case study.

Authors:  Ines Rito Lima; Shlomi Haar; Lucas Di Grassi; A Aldo Faisal
Journal:  Sci Rep       Date:  2020-07-14       Impact factor: 4.379

  4 in total

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