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Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications

Dry electrode electroencephalogram (EEG) recording combined with wireless data transmission offers an alternative tool to conventional wet electrode EEG systems. However, the question remains whether the signal quality of dry electrode recordings is comparable to wet electrode recordings in the clin...

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Autores principales: Hinrichs, Hermann, Scholz, Michael, Baum, Anne Katrin, Kam, Julia W. Y., Knight, Robert T., Heinze, Hans-Jochen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090045/
https://www.ncbi.nlm.nih.gov/pubmed/32251333
http://dx.doi.org/10.1038/s41598-020-62154-0
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author Hinrichs, Hermann
Scholz, Michael
Baum, Anne Katrin
Kam, Julia W. Y.
Knight, Robert T.
Heinze, Hans-Jochen
author_facet Hinrichs, Hermann
Scholz, Michael
Baum, Anne Katrin
Kam, Julia W. Y.
Knight, Robert T.
Heinze, Hans-Jochen
author_sort Hinrichs, Hermann
collection PubMed
description Dry electrode electroencephalogram (EEG) recording combined with wireless data transmission offers an alternative tool to conventional wet electrode EEG systems. However, the question remains whether the signal quality of dry electrode recordings is comparable to wet electrode recordings in the clinical context. We recorded the resting state EEG (rsEEG), the visual evoked potentials (VEP) and the visual P300 (P3) from 16 healthy subjects (age range: 26–79 years) and 16 neurological patients who reported subjective memory impairment (age range: 50–83 years). Each subject took part in two recordings on different days, one with 19 dry electrodes and another with 19 wet electrodes. They reported their preferred EEG system. Comparisons of the rsEEG recordings were conducted qualitatively by independent visual evaluation by two neurologists blinded to the EEG system used and quantitatively by spectral analysis of the rsEEG. The P100 visual evoked potential (VEP) and P3 event-related potential (ERP) were compared in terms of latency, amplitude and pre-stimulus noise. The majority of subjects preferred the dry electrode headset. Both neurologists reported that all rsEEG traces were comparable between the wet and dry electrode headsets. Absolute Alpha and Beta power during rest did not statistically differ between the two EEG systems (p > 0.05 in all cases). However, Theta and Delta power was slightly higher with the dry electrodes (p = 0.0004 for Theta and p < 0.0001 for Delta). For ERPs, the mean latencies and amplitudes of the P100 VEP and P3 ERP showed comparable values (p > 0.10 in all cases) with a similar spatial distribution for both wet and dry electrode systems. These results suggest that the signal quality, ease of set-up and portability of the dry electrode EEG headset used in our study comply with the needs of clinical applications.
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spelling pubmed-70900452020-03-27 Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications Hinrichs, Hermann Scholz, Michael Baum, Anne Katrin Kam, Julia W. Y. Knight, Robert T. Heinze, Hans-Jochen Sci Rep Article Dry electrode electroencephalogram (EEG) recording combined with wireless data transmission offers an alternative tool to conventional wet electrode EEG systems. However, the question remains whether the signal quality of dry electrode recordings is comparable to wet electrode recordings in the clinical context. We recorded the resting state EEG (rsEEG), the visual evoked potentials (VEP) and the visual P300 (P3) from 16 healthy subjects (age range: 26–79 years) and 16 neurological patients who reported subjective memory impairment (age range: 50–83 years). Each subject took part in two recordings on different days, one with 19 dry electrodes and another with 19 wet electrodes. They reported their preferred EEG system. Comparisons of the rsEEG recordings were conducted qualitatively by independent visual evaluation by two neurologists blinded to the EEG system used and quantitatively by spectral analysis of the rsEEG. The P100 visual evoked potential (VEP) and P3 event-related potential (ERP) were compared in terms of latency, amplitude and pre-stimulus noise. The majority of subjects preferred the dry electrode headset. Both neurologists reported that all rsEEG traces were comparable between the wet and dry electrode headsets. Absolute Alpha and Beta power during rest did not statistically differ between the two EEG systems (p > 0.05 in all cases). However, Theta and Delta power was slightly higher with the dry electrodes (p = 0.0004 for Theta and p < 0.0001 for Delta). For ERPs, the mean latencies and amplitudes of the P100 VEP and P3 ERP showed comparable values (p > 0.10 in all cases) with a similar spatial distribution for both wet and dry electrode systems. These results suggest that the signal quality, ease of set-up and portability of the dry electrode EEG headset used in our study comply with the needs of clinical applications. Nature Publishing Group UK 2020-03-23 /pmc/articles/PMC7090045/ /pubmed/32251333 http://dx.doi.org/10.1038/s41598-020-62154-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hinrichs, Hermann
Scholz, Michael
Baum, Anne Katrin
Kam, Julia W. Y.
Knight, Robert T.
Heinze, Hans-Jochen
Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
title Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
title_full Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
title_fullStr Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
title_full_unstemmed Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
title_short Comparison between a wireless dry electrode EEG system with a conventional wired wet electrode EEG system for clinical applications
title_sort comparison between a wireless dry electrode eeg system with a conventional wired wet electrode eeg system for clinical applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7090045/
https://www.ncbi.nlm.nih.gov/pubmed/32251333
http://dx.doi.org/10.1038/s41598-020-62154-0
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