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Remote collection of electrophysiological data with brain wearables: opportunities and challenges
Collection of electroencephalographic (EEG) data provides an opportunity to non-invasively study human brain plasticity, learning and the evolution of various neuropsychiatric disorders. Traditionally, due to sophisticated hardware, EEG studies have been largely limited to research centers which res...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283168/ https://www.ncbi.nlm.nih.gov/pubmed/37340487 http://dx.doi.org/10.1186/s42234-023-00114-5 |
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author | Sugden, Richard James Pham-Kim-Nghiem-Phu, Viet-Linh Luke Campbell, Ingrid Leon, Alberto Diamandis, Phedias |
author_facet | Sugden, Richard James Pham-Kim-Nghiem-Phu, Viet-Linh Luke Campbell, Ingrid Leon, Alberto Diamandis, Phedias |
author_sort | Sugden, Richard James |
collection | PubMed |
description | Collection of electroencephalographic (EEG) data provides an opportunity to non-invasively study human brain plasticity, learning and the evolution of various neuropsychiatric disorders. Traditionally, due to sophisticated hardware, EEG studies have been largely limited to research centers which restrict both testing contexts and repeated longitudinal measures. The emergence of low-cost “wearable” EEG devices now provides the prospect of frequent and remote monitoring of the human brain for a variety of physiological and pathological brain states. In this manuscript, we survey evidence that EEG wearables provide high-quality data and review various software used for remote data collection. We then discuss the growing body of evidence supporting the feasibility of remote and longitudinal EEG data collection using wearables including a discussion of potential biomedical applications of these protocols. Lastly, we discuss some additional challenges needed for EEG wearable research to gain further widespread adoption. |
format | Online Article Text |
id | pubmed-10283168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102831682023-06-22 Remote collection of electrophysiological data with brain wearables: opportunities and challenges Sugden, Richard James Pham-Kim-Nghiem-Phu, Viet-Linh Luke Campbell, Ingrid Leon, Alberto Diamandis, Phedias Bioelectron Med Review Collection of electroencephalographic (EEG) data provides an opportunity to non-invasively study human brain plasticity, learning and the evolution of various neuropsychiatric disorders. Traditionally, due to sophisticated hardware, EEG studies have been largely limited to research centers which restrict both testing contexts and repeated longitudinal measures. The emergence of low-cost “wearable” EEG devices now provides the prospect of frequent and remote monitoring of the human brain for a variety of physiological and pathological brain states. In this manuscript, we survey evidence that EEG wearables provide high-quality data and review various software used for remote data collection. We then discuss the growing body of evidence supporting the feasibility of remote and longitudinal EEG data collection using wearables including a discussion of potential biomedical applications of these protocols. Lastly, we discuss some additional challenges needed for EEG wearable research to gain further widespread adoption. BioMed Central 2023-06-21 /pmc/articles/PMC10283168/ /pubmed/37340487 http://dx.doi.org/10.1186/s42234-023-00114-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Sugden, Richard James Pham-Kim-Nghiem-Phu, Viet-Linh Luke Campbell, Ingrid Leon, Alberto Diamandis, Phedias Remote collection of electrophysiological data with brain wearables: opportunities and challenges |
title | Remote collection of electrophysiological data with brain wearables: opportunities and challenges |
title_full | Remote collection of electrophysiological data with brain wearables: opportunities and challenges |
title_fullStr | Remote collection of electrophysiological data with brain wearables: opportunities and challenges |
title_full_unstemmed | Remote collection of electrophysiological data with brain wearables: opportunities and challenges |
title_short | Remote collection of electrophysiological data with brain wearables: opportunities and challenges |
title_sort | remote collection of electrophysiological data with brain wearables: opportunities and challenges |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10283168/ https://www.ncbi.nlm.nih.gov/pubmed/37340487 http://dx.doi.org/10.1186/s42234-023-00114-5 |
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