An EEG experimental study evaluating the performance of Texas instruments ADS1299

Usman Rashid*, Imran Khan Niazi, Nada Signal, Denise Taylor

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

46 Citations (Scopus)
336 Downloads (Pure)

Abstract

Texas Instruments ADS1299 is an attractive choice for low cost electroencephalography (EEG) devices owing to its low power consumption and low input referred noise. To date, there have been no rigorous evaluations of its performance. In this EEG experimental study we evaluated the performance of the ADS1299 against a high quality laboratory-based system. Two self-paced lower limb motor tasks were performed by 22 healthy participants. Recorded power across delta, theta, alpha, and beta EEG bands, the power ratio across the motor tasks, pre-movement noise, and signal-to-noise ratio were obtained for evaluation. The amplitude and time of the negative peak in the movement-related cortical potentials (MRCPs) extracted from the EEG data were also obtained. Using linear mixed models, no statistically significant differences (p > 0.05) were found in any of these measures across the two systems. These findings were further supported by evaluation of cosine similarity, waveform differences, and topographic maps. There were statistically significant differences in MRCPs across the motor tasks in both systems. We conclude that the performance of the ADS1299 in combination with wet Ag/AgCl electrodes is analogous to that of a laboratory-based system in a low frequency (<40 Hz) EEG recording.

Original languageEnglish
Article number3721
JournalSensors (Switzerland)
Volume18
Issue number11
Number of pages18
ISSN1424-8220
DOIs
Publication statusPublished - 1 Nov 2018

Keywords

  • ADS1299
  • Brain computer interface (BCI)
  • Electroencephalography (EEG)
  • Movement-related cortical potential (MRCP)
  • NuAmps
  • OpenBCI Cyton v3-32

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