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Categorisation of Mobile EEG: A Researcher’s Perspective

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Categorisation of Mobile EEG : A Researcher’s Perspective. / Bateson, Anthony David; Baseler, Heidi; Paulson, Kevin; Ahmed, Fayyaz; Asghar, Aziz U. R.

In: BioMed Research International, Vol. 2017, 5496196, 04.12.2017.

Research output: Contribution to journalReview articlepeer-review

Harvard

Bateson, AD, Baseler, H, Paulson, K, Ahmed, F & Asghar, AUR 2017, 'Categorisation of Mobile EEG: A Researcher’s Perspective', BioMed Research International, vol. 2017, 5496196. https://doi.org/10.1155/2017/5496196

APA

Bateson, A. D., Baseler, H., Paulson, K., Ahmed, F., & Asghar, A. U. R. (2017). Categorisation of Mobile EEG: A Researcher’s Perspective. BioMed Research International, 2017, [5496196]. https://doi.org/10.1155/2017/5496196

Vancouver

Bateson AD, Baseler H, Paulson K, Ahmed F, Asghar AUR. Categorisation of Mobile EEG: A Researcher’s Perspective. BioMed Research International. 2017 Dec 4;2017. 5496196. https://doi.org/10.1155/2017/5496196

Author

Bateson, Anthony David ; Baseler, Heidi ; Paulson, Kevin ; Ahmed, Fayyaz ; Asghar, Aziz U. R. / Categorisation of Mobile EEG : A Researcher’s Perspective. In: BioMed Research International. 2017 ; Vol. 2017.

Bibtex - Download

@article{0fdfd718f1ea408f9269a7315efc38c0,
title = "Categorisation of Mobile EEG: A Researcher{\textquoteright}s Perspective",
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.",
author = "Bateson, {Anthony David} and Heidi Baseler and Kevin Paulson and Fayyaz Ahmed and Asghar, {Aziz U. R.}",
note = "{\textcopyright} 2017 Anthony D. Bateson et al.",
year = "2017",
month = dec,
day = "4",
doi = "10.1155/2017/5496196",
language = "English",
volume = "2017",
journal = "BioMed Research International",
issn = "2314-6133",
publisher = "Hindawi Publishing Corporation",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Categorisation of Mobile EEG

T2 - A Researcher’s Perspective

AU - Bateson, Anthony David

AU - Baseler, Heidi

AU - Paulson, Kevin

AU - Ahmed, Fayyaz

AU - Asghar, Aziz U. R.

N1 - © 2017 Anthony D. Bateson et al.

PY - 2017/12/4

Y1 - 2017/12/4

N2 - 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.

AB - 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.

U2 - 10.1155/2017/5496196

DO - 10.1155/2017/5496196

M3 - Review article

VL - 2017

JO - BioMed Research International

JF - BioMed Research International

SN - 2314-6133

M1 - 5496196

ER -