Bateson, Anthony David, Baseler, Heidi orcid.org/0000-0003-0995-8453, Paulson, Kevin et al. (2 more authors) (2017) Categorisation of Mobile EEG:A Researcher’s Perspective. BioMed Research International. 5496196. ISSN 2314-6141
Abstract
Researchers are increasingly attempting to undertake electroencephalography (EEG) recordings in novel environments and contexts outside of the traditional static laboratory setting. The term “mobile EEG,” although commonly used to describe many of these undertakings, is ambiguous, since it attempts to encompass a wide range of EEG device mobility, participant mobility, and system specifications used across investigations. To provide quantitative parameters for “mobile EEG,” we developed a Categorisation of Mobile EEG (CoME) scheme based upon scoring of device mobility (, from 0, off-body, to 5, head-mounted with no additional equipment), participant mobility (, from 0, static, to 5, unconstrained running), system specification (, from 4, lowest, to 20, highest), and number of channels () used. The CoME scheme was applied to twenty-nine published mobile EEG studies. Device mobility scores ranged from 0 to 4, participant mobility scores from 0 to 4, and system specification scores from 6 to 17. The format of the scores for the four parameters is given, for example, as (2, 4, 17, 32) and readily enables comparisons across studies. Our CoME scheme enables researchers to quantify the degree of device mobility, participant mobility, and system specification used in their “mobile EEG” investigations in a standardised way.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Anthony D. Bateson et al. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Psychology (York) The University of York > Faculty of Sciences (York) > Hull York Medical School (York) |
Depositing User: | Pure (York) |
Date Deposited: | 24 Jul 2018 23:45 |
Last Modified: | 16 Oct 2024 14:31 |
Published Version: | https://doi.org/10.1155/2017/5496196 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1155/2017/5496196 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:133793 |
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Description: Categorisation of Mobile EEG: A Researcher’s Perspective
Licence: CC-BY 2.5