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Categorisation of Mobile EEG: A Researcher's Perspective

Bateson, Anthony D.; Baseler, Heidi A.; Paulson, Kevin S.; Ahmed, Fayyaz; Asghar, Aziz U.R.

Authors

Heidi A. Baseler

Kevin S. Paulson

Fayyaz Ahmed

Aziz U.R. Asghar



Abstract

© 2017 Anthony D. Bateson et al. 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 (D, from 0, off-body, to 5, head-mounted with no additional equipment), participant mobility (P, from 0, static, to 5, unconstrained running), system specification (S, from 4, lowest, to 20, highest), and number of channels (C) used. The CoME scheme was applied to twenty-nine published mobile EEG studies. Device mobility scores ranged from 0D to 4D, participant mobility scores from 0P to 4P, and system specification scores from 6S to 17S. The format of the scores for the four parameters is given, for example, as (2D, 4P, 17S, 32C) 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.

Journal Article Type Review
Publication Date Dec 4, 2017
Journal BioMed Research International
Print ISSN 2314-6133
Electronic ISSN 2314-6141
Publisher Hindawi
Peer Reviewed Peer Reviewed
Volume 2017
Article Number 5496196
Pages 1-15
APA6 Citation Bateson, A. D., Baseler, H. A., Paulson, K. S., Ahmed, F., & Asghar, A. U. (2017). Categorisation of Mobile EEG: A Researcher's Perspective. Biomed research international, 2017, (1-15). doi:10.1155/2017/5496196. ISSN 2314-6133
DOI https://doi.org/10.1155/2017/5496196
Keywords General Biochemistry, Genetics and Molecular Biology; General Immunology and Microbiology; General Medicine
Publisher URL https://www.hindawi.com/journals/bmri/2017/5496196/
Related Public URLs https://pure.york.ac.uk/portal/en/publications/categorisation-of-mobile-eeg(0fdfd718-f1ea-408f-9269-a7315efc38c0).html
Copyright Statement © 2017 Anthony D. Bateson et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.

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Copyright Statement
© 2017 Anthony D. Bateson et al. This is an open access article distributed under the Creative Commons Attribution
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly
cited.





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