EEG data acquisition system 32 channels with relative power ratio based on Raspberry Pi 3

H. Hendarwin, P. Prajitno, S. K. Wijaya

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

Abstract

A prototype of Electroencephalography (EEG) data acquisition system based on Raspberry Pi 3 model B and ADS1299EEGFE-PDK (Texas Instruments) has been developed. This system is compact, cost effective, and has high levels of accuracy and portability. This system has feature of relative power ratio (RPR) for further processing purposes. The analog front end (AFE) board consists of ADS 1299 chip with features of simultaneous eight-channels ADC, 24 bits resolution, low power, low noise. The data acquisition system was configured with 4 units of AFE board using Daisy-Chain method via Serial Peripheral Interface (SPI) and processed based on Raspberry. The data command of AFE were set using RDATA format. The data acquisition system using C for data acquired and MATLAB for signal processing. The RPR were calculated in real-time using FFT. The acquired and processed data would be sent to HDMI and to a Personal Computer (PC) if needed by users. The performance of this system was evaluated using EEG simulator (NETECH Mini-Sim EEG) that generate sinusoidal electrical signal with frequency 2 Hz, 5 Hz, and also voltage amplitude of 100 μV, 500 μV.

Original languageEnglish
Title of host publicationProceedings of the 4th International Symposium on Current Progress in Mathematics and Sciences, ISCPMS 2018
EditorsTerry Mart, Djoko Triyono, Ivandini T. Anggraningrum
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735419155
DOIs
Publication statusPublished - 4 Nov 2019
Event4th International Symposium on Current Progress in Mathematics and Sciences 2018, ISCPMS 2018 - Depok, Indonesia
Duration: 30 Oct 201831 Oct 2018

Publication series

NameAIP Conference Proceedings
Volume2168
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference4th International Symposium on Current Progress in Mathematics and Sciences 2018, ISCPMS 2018
CountryIndonesia
CityDepok
Period30/10/1831/10/18

Keywords

  • ADS-1299
  • Daisy-Chain
  • EEG
  • Raspberry Pi
  • RPR

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