Wearable electroencephalogram signal detection with dry metal electrodes

Temg Ren Hsu, Terng-Yin Hsu, Wei Hsin Huang, Ching Chih Fan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The major of this paper is a wearable Electroencephalogram (EEG) signal detection with dry metal electrodes. It includes following characteristics: low cost, compact size, wearable object, and comfortable sensation. The proposed device employs the embedded microcontroller to be in charge of whole system. The EEG analog front-end circuit of our proposition is based on CMOS operational amplifiers (OPA) that are applied to construct an instrumentation amplifier (IA), high-pass filters (HPF), low-pass filters (LPF), a middle-amplifier, a post-amplifier and biases. A Bluetooth wireless communication module is applied for data communications. We develop a simple demo application software to display real-time EEG waveform or real-time EEG features on Android platforms.

Original languageEnglish
Title of host publicationIMPACT 2017 - 12th International Microsystems, Packaging, Assembly and Circuits Technology Conference, Proceedings
PublisherIEEE Computer Society
Pages311-314
Number of pages4
ISBN (Electronic)9781538647196
DOIs
StatePublished - 12 Jan 2018
Event12th International Microsystems, Packaging, Assembly and Circuits Technology Conference, IMPACT 2017 - Taipei, Taiwan
Duration: 25 Oct 201727 Oct 2017

Publication series

NameProceedings of Technical Papers - International Microsystems, Packaging, Assembly, and Circuits Technology Conference, IMPACT
Volume2017-October
ISSN (Print)2150-5934
ISSN (Electronic)2150-5942

Conference

Conference12th International Microsystems, Packaging, Assembly and Circuits Technology Conference, IMPACT 2017
CountryTaiwan
CityTaipei
Period25/10/1727/10/17

Keywords

  • Android Platform
  • Bluetooth
  • Dry Metal Electrodes
  • Electroencephalogram (EEG)
  • Embedded System

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