Signal Quality Evaluation of Emerging EEG Devices

Frontiers in Physiology
Thea Radüntz

Abstract

Electroencephalogram (EEG) registration as a direct measure of brain activity has unique potentials. It is one of the most reliable and predicative indicators when studying human cognition, evaluating a subject's health condition, or monitoring their mental state. Unfortunately, standard signal acquisition procedures limit the usability of EEG devices and narrow their application outside the lab. Emerging sensor technology allows gel-free EEG registration and wireless signal transmission. Thus, it enables quick and easy application of EEG devices by users themselves. Although a main requirement for the interpretation of an EEG is good signal quality, there is a lack of research on this topic in relation to new devices. In our work, we compared the signal quality of six very different EEG devices. On six consecutive days, 24 subjects wore each device for 60 min and completed tasks and games on the computer. The registered signals were evaluated in the time and frequency domains. In the time domain, we examined the percentage of artifact-contaminated EEG segments and the signal-to-noise ratios. In the frequency domain, we focused on the band power variation in relation to task demands. The results indicated that the signal qualit...Continue Reading

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Citations

Jul 2, 2020·Micromachines·Takumi KawanaNorihisa Miki
Mar 28, 2019·Frontiers in Human Neuroscience·Justine R MagnusonSam M Doesburg
Sep 5, 2019·JMIR MHealth and UHealth·Thea Radüntz, Beate Meffert
Jul 7, 2020·Frontiers in Neuroscience·Sven LeachWalter Karlen
Feb 16, 2021·Frontiers in Neuroscience·Olave E KrigolsonGordon Binsted
Feb 9, 2021·Annual Review of Neuroscience·Claire M Gillan, Robb B Rutledge
Nov 2, 2021·Brain and Neuroscience Advances·Marta ToporPhilip J A Dean

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