Evidence map›Paper›PMID 39971957›Full record

ArticleScientific data2025

Ear-EEG sleep monitoring data sets.

Kaare Bjarke Mikkelsen, Yousef Rezai Tabar, Laura Rævsbæk Birch, Simon Lind Kappel, Christian Bech Christensen, Lars Dalskov Mosgaard, Marit Otto, Martin Christian Hemmsen, Mike Lind Rank, Preben Kidmose

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

10 authors.

Kaare Bjarke MikkelsenDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark. mikkelsen.kaare@ece.au.dk.ORCID http://orcid.org/0000-0002-7360-8629
Yousef Rezai TabarDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark.
Laura Rævsbæk BirchDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark.
Simon Lind KappelDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark.
Christian Bech ChristensenDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark.
Lars Dalskov MosgaardT&W Engineering, Lynge, Denmark.
Marit OttoAarhus University Hospital, Aarhus, Denmark.
Martin Christian HemmsenT&W Engineering, Lynge, Denmark.ORCID http://orcid.org/0000-0003-3899-8710
Mike Lind RankT&W Engineering, Lynge, Denmark.
Preben KidmoseDepartment of Electrical and Computer Engineering, Aarhus University, Aarhus, Denmark.

Funding

Innovationsfonden (Innovation Fund Denmark) 7050-00007
6 · The paper itself

Abstract

Here we present data from two studies, both of which had the purpose of investigating the potential of using electroencephalograms measured from the ear ('ear-EEG') for sleep monitoring in a home environment. In total, 320 nights were recorded. All nights were recorded with ear-EEG, and some were also recorded using scalp-EEG and/or wristworn actigraphy. All subjects were recorded multiple times. To our knowledge, this is the most extensive open access data set available for mobile EEG development, and possibly also the best open access dataset for studying repeated sleep monitoring on individuals. We describe the details of each data set, including data quality measures, and compare the sleep scoring performance to a previously published dataset.

Indexed as

ElectroencephalographySleepActigraphyAdultEarHumans

Identifiers

PMID39971957
PMCPMC11840015

What OpenQuestion holds

Textmetadata
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.