Development of EEG Data Acquisition System Based on FPGA Zedboard

Hendra Saputra Gani, Sastra Kusuma Wijaya, Prawito, La Ode Husein Z. Toresano

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

Abstract

An Electroencephalography (EEG) data acquisition system based on FPGA Zedboard (Diligent, USA) has been implemented using ADC (Analog to Digital Converter) front-end ADS1299FE (Texas Instrument, USA). The EEG instrument is a device used to measure the electrical brain activities on the scalp, and the voltage potential of EEG signal around 0.5-100μV with frequency 0.5 - 40 Hz. The data acquisition system has been configured with 2-chips ADS1299 Daisy-Chain mode and processing based on Zedboard FPGA. The data acquisition system was used with FPGA, because that is very powerful speed to acquire the ADC devices. The result of data acquisition system has been sent to PC (Personal Computer) and also displayed into the graphic format of EEG data. The EEG instrument has been successfully validated using EEG Simulator (NETECH Mini-Sim EEG) with frequency 2Hz, 5Hz, and also voltage tested in 30 uV, 50 uV and 100 uV. The validation result at 2Hz was obtained measurement with a maximum deviation average of 0.15uV, therefore frequency of 5Hz with a maximum deviation average of 0.18uV.

Original languageEnglish
Title of host publicationProceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages246-250
Number of pages5
ISBN (Electronic)9781538634554
DOIs
Publication statusPublished - 15 Nov 2018
Event5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017 - Bandung, Indonesia
Duration: 6 Nov 20177 Nov 2017

Publication series

NameProceedings of 2017 5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017

Conference

Conference5th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering, ICICI-BME 2017
CountryIndonesia
CityBandung
Period6/11/177/11/17

Keywords

  • ADS1299TI
  • Data Acquisition
  • EEG
  • Electroencephalography
  • FPGA
  • Zedboard

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