Evidence map›Paper›PMID 29349078›Full record

ReviewBioMed research international2017

Categorisation of Mobile EEG: A Researcher's Perspective.

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

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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  13. EEG of the Dancing Brain: Decoding Sensory, Motor, and Social Processes during Dyadic Dance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Anthony D BatesonSchool of Engineering, University of Hull, Hull HU6 7RX, UK.ORCID 0000-0002-4780-4458
Heidi A BaselerDepartment of Psychology, University of York, York YO10 5DD, UK.
Kevin S PaulsonSchool of Engineering, University of Hull, Hull HU6 7RX, UK.
Fayyaz AhmedDepartment of Neurology, Hull Royal Infirmary, Hull HU3 2JZ, UK.
Aziz U R AsgharHull York Medical School, University of Hull, Hull HU6 7RX, UK.
University of Hull · GBHull Royal Infirmary · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (

Indexed as

Mobile ApplicationsBiomedical ResearchElectroencephalographyHumansMonitoring, AmbulatorySmartphone

Identifiers

PMID29349078
PMCPMC5733835
OpenAlexW2773402408

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.