An EEG Experimental Study Evaluating the Performance of Texas Instruments ADS1299.

Usman Rashid,Imran Niazi,Nada Signal,Denise Taylor

doi:10.3390/s18113721

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.

Highlights

Texas Instruments ADS1299 is a system on chip (SOC) designed for biopotential applications including electroencephalography (EEG) and electrocardiography (ECG)
In case of the gold standard system, there was no loss of data
The results indicate a strong cosine similarity between the movement-related cortical potentials (MRCPs) signals recorded by the two systems, suggesting that the prototype is comparable to the gold standard

Summary

Introduction

Texas Instruments ADS1299 is a system on chip (SOC) designed for biopotential applications including electroencephalography (EEG) and electrocardiography (ECG) It has attractive electrical characteristics such as low input referred noise (1 μVpp ), low power consumption (5 mW/channel), test signals for impedance measurement, and an SPITM compatible interface [1]. ADS1299 has been used in multiple studies to evaluate hardware and software for EEG These include testing 3D printed electrodes [2], ultra high impedance active electrodes [3], finger-based dry electrodes [4], and artefact rejection algorithms [5,6]. These studies are making decisions about the relative merits of these technologies and experimental outcomes based on parameters of the EEG recorded with the ADS1299

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Conclusion