Signal Quality Evaluation of Emerging EEG Devices

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...

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Main Author: Thea Radüntz
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-02-01
Series:Frontiers in Physiology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fphys.2018.00098/full
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spelling doaj-5b7325342d7947ff8e640ed0c6b17a1f2020-11-24T22:56:06ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2018-02-01910.3389/fphys.2018.00098318948Signal Quality Evaluation of Emerging EEG DevicesThea RadüntzElectroencephalogram (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 quality of a mobile, gel-based EEG system could not be surpassed by that of a gel-free system. However, some of the mobile dry-electrode devices offered signals that were almost comparable and were very promising. This study provided a differentiated view of the signal quality of emerging mobile and gel-free EEG recording technology and allowed an assessment of the functionality of the new devices. Hence, it provided a crucial prerequisite for their general application, while simultaneously supporting their further development.http://journal.frontiersin.org/article/10.3389/fphys.2018.00098/fullsignal qualityelectroencephalogram (EEG)mobile EEGdry electrodeswearables
collection DOAJ
language English
format Article
sources DOAJ
author Thea Radüntz
spellingShingle Thea Radüntz
Signal Quality Evaluation of Emerging EEG Devices
Frontiers in Physiology
signal quality
electroencephalogram (EEG)
mobile EEG
dry electrodes
wearables
author_facet Thea Radüntz
author_sort Thea Radüntz
title Signal Quality Evaluation of Emerging EEG Devices
title_short Signal Quality Evaluation of Emerging EEG Devices
title_full Signal Quality Evaluation of Emerging EEG Devices
title_fullStr Signal Quality Evaluation of Emerging EEG Devices
title_full_unstemmed Signal Quality Evaluation of Emerging EEG Devices
title_sort signal quality evaluation of emerging eeg devices
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2018-02-01
description 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 quality of a mobile, gel-based EEG system could not be surpassed by that of a gel-free system. However, some of the mobile dry-electrode devices offered signals that were almost comparable and were very promising. This study provided a differentiated view of the signal quality of emerging mobile and gel-free EEG recording technology and allowed an assessment of the functionality of the new devices. Hence, it provided a crucial prerequisite for their general application, while simultaneously supporting their further development.
topic signal quality
electroencephalogram (EEG)
mobile EEG
dry electrodes
wearables
url http://journal.frontiersin.org/article/10.3389/fphys.2018.00098/full
work_keys_str_mv AT thearaduntz signalqualityevaluationofemergingeegdevices
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