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Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials
Objectives: To compare quantitative EEG signal and test-retest reliability of medical grade and consumer EEG systems. Methods: Resting state EEG was acquired by two medical grade (B-Alert, Enobio) and two consumer (Muse, Mindwave) EEG systems in five healthy subjects during two study visits. EEG pat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540902/ https://www.ncbi.nlm.nih.gov/pubmed/28824402 http://dx.doi.org/10.3389/fnhum.2017.00398 |
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author | Ratti, Elena Waninger, Shani Berka, Chris Ruffini, Giulio Verma, Ajay |
author_facet | Ratti, Elena Waninger, Shani Berka, Chris Ruffini, Giulio Verma, Ajay |
author_sort | Ratti, Elena |
collection | PubMed |
description | Objectives: To compare quantitative EEG signal and test-retest reliability of medical grade and consumer EEG systems. Methods: Resting state EEG was acquired by two medical grade (B-Alert, Enobio) and two consumer (Muse, Mindwave) EEG systems in five healthy subjects during two study visits. EEG patterns, power spectral densities (PSDs) and test/retest reliability in eyes closed and eyes open conditions were compared across the four systems, focusing on Fp1, the only common electrode. Fp1 PSDs were obtained using Welch's modified periodogram method and averaged for the five subjects for each visit. The test/retest results were calculated as a ratio of Visit 1/Visit 2 Fp1 channel PSD at each 1 s epoch. Results: B-Alert, Enobio, and Mindwave Fp1 power spectra were similar. Muse showed a broadband increase in power spectra and the highest relative variation across test-retest acquisitions. Consumer systems were more prone to artifact due to eye blinks and muscle movement in the frontal region. Conclusions: EEG data can be successfully collected from all four systems tested. Although there was slightly more time required for application, medical systems offer clear advantages in data quality, reliability, and depth of analysis over the consumer systems. Significance: This evaluation provides evidence for informed selection of EEG systemsappropriate for clinical trials. |
format | Online Article Text |
id | pubmed-5540902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-55409022017-08-18 Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials Ratti, Elena Waninger, Shani Berka, Chris Ruffini, Giulio Verma, Ajay Front Hum Neurosci Neuroscience Objectives: To compare quantitative EEG signal and test-retest reliability of medical grade and consumer EEG systems. Methods: Resting state EEG was acquired by two medical grade (B-Alert, Enobio) and two consumer (Muse, Mindwave) EEG systems in five healthy subjects during two study visits. EEG patterns, power spectral densities (PSDs) and test/retest reliability in eyes closed and eyes open conditions were compared across the four systems, focusing on Fp1, the only common electrode. Fp1 PSDs were obtained using Welch's modified periodogram method and averaged for the five subjects for each visit. The test/retest results were calculated as a ratio of Visit 1/Visit 2 Fp1 channel PSD at each 1 s epoch. Results: B-Alert, Enobio, and Mindwave Fp1 power spectra were similar. Muse showed a broadband increase in power spectra and the highest relative variation across test-retest acquisitions. Consumer systems were more prone to artifact due to eye blinks and muscle movement in the frontal region. Conclusions: EEG data can be successfully collected from all four systems tested. Although there was slightly more time required for application, medical systems offer clear advantages in data quality, reliability, and depth of analysis over the consumer systems. Significance: This evaluation provides evidence for informed selection of EEG systemsappropriate for clinical trials. Frontiers Media S.A. 2017-08-03 /pmc/articles/PMC5540902/ /pubmed/28824402 http://dx.doi.org/10.3389/fnhum.2017.00398 Text en Copyright © 2017 Ratti, Waninger, Berka, Ruffini and Verma. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Ratti, Elena Waninger, Shani Berka, Chris Ruffini, Giulio Verma, Ajay Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials |
title | Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials |
title_full | Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials |
title_fullStr | Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials |
title_full_unstemmed | Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials |
title_short | Comparison of Medical and Consumer Wireless EEG Systems for Use in Clinical Trials |
title_sort | comparison of medical and consumer wireless eeg systems for use in clinical trials |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5540902/ https://www.ncbi.nlm.nih.gov/pubmed/28824402 http://dx.doi.org/10.3389/fnhum.2017.00398 |
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