Data acquisition instrument for EEG based on embedded system

La Ode Husein Z. Toresano, Sastra Kusuma Wijaya, Prawito, Arief Sudarmaji, Abdan Syakura, Cholid Badri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

An electroencephalogram (EEG) is a device for measuring and recording the electrical activity of brain. The EEG data of signal can be used as a source of analysis for human brain function. The purpose of this study was to design a portable multichannel EEG based on embedded system and ADS1299. The ADS1299 is an analog front-end to be used as an Analog to Digital Converter (ADC) to convert analog signal of electrical activity of brain, a filter of electrical signal to reduce the noise on low-frequency band and a data communication to the microcontroller. The system has been tested to capture brain signal within a range of 1-20 Hz using the NETECH EEG simulator 330. The developed system was relatively high accuracy of more than 82.5%. The EEG Instrument has been successfully implemented to acquire the brain signal activity using a PC (Personal Computer) connection for displaying the recorded data. The final result of data acquisition has been processed using OpenBCI GUI (Graphical User Interface) based through real-time process for 8-channel signal acquisition, brain-mapping and power spectral decomposition signal using the standard FFT (Fast Fourier Transform) algorithm.

Original languageEnglish
Title of host publicationBiomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices
Subtitle of host publicationProceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016
EditorsYudan Whulanza, Sugeng Supriadi, Muhamad Sahlan, Basari
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735414853
DOIs
Publication statusPublished - 21 Feb 2017
Event1st International Symposium of Biomedical Engineering: Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2016 - Depok City, Indonesia
Duration: 31 May 20161 Jun 2016

Publication series

NameAIP Conference Proceedings
Volume1817
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference1st International Symposium of Biomedical Engineering: Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2016
CountryIndonesia
CityDepok City
Period31/05/161/06/16

Keywords

  • ADS1299TI
  • Brain Signal
  • Decomposition
  • EEG
  • Embedded-system
  • FFT
  • Instrument
  • Power Spectral Density

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  • Cite this

    Toresano, L. O. H. Z., Wijaya, S. K., Prawito, Sudarmaji, A., Syakura, A., & Badri, C. (2017). Data acquisition instrument for EEG based on embedded system. In Y. Whulanza, S. Supriadi, M. Sahlan, & Basari (Eds.), Biomedical Engineering's Recent Progress in Biomaterials, Drugs Development, and Medical Devices: Proceedings of the 1st International Symposium of Biomedical Engineering, ISBE 2016 [040009] (AIP Conference Proceedings; Vol. 1817). American Institute of Physics Inc.. https://doi.org/10.1063/1.4976794