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Open AccessArticle

An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299

1
Health & Rehabilitation Research Institute, Auckland University of Technology, Auckland 0627, New Zealand
2
Centre for Chiropractic Research, New Zealand College of Chiropractic, Auckland 1060, New Zealand
3
SMI, Department of Health Science and Technology, Aalborg University, Aalborg 9220, Denmark
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(11), 3721; https://doi.org/10.3390/s18113721
Received: 9 October 2018 / Revised: 26 October 2018 / Accepted: 30 October 2018 / Published: 1 November 2018
(This article belongs to the Special Issue EEG Electrodes)
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. View Full-Text
Keywords: ADS1299; OpenBCI Cyton V3-32; electroencephalography (EEG); movement-related cortical potential (MRCP); brain computer interface (BCI); NuAmps ADS1299; OpenBCI Cyton V3-32; electroencephalography (EEG); movement-related cortical potential (MRCP); brain computer interface (BCI); NuAmps
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Rashid, U.; Niazi, I.K.; Signal, N.; Taylor, D. An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299. Sensors 2018, 18, 3721.

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