Evidence map›Paper›PMID 33219908›Full record

ArticleSleep & breathing = Schlaf & Atmung2021

Ear-EEG for sleep assessment: a comparison with actigraphy and PSG.

Yousef Rezaei Tabar, Kaare B Mikkelsen, Mike Lind Rank, Martin Christian Hemmsen, Marit Otto, Preben Kidmose

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  6. Review
  7. Article
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  9. Article
  10. From Scalp to Ear-EEG: A Generalizable Transfer Learning Model for Automatic Sleep Scoring in Older People.IEEE journal of translational engineering in health and medicine · 2024
    Article
  11. Article
  12. Article
  13. At-home sleep monitoring using generic ear-EEG.Frontiers in neuroscience · 2023
    Article
  14. Article
  15. Article
  16. Article
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

6 authors.

Yousef Rezaei TabarDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, Building 5125, 8200, Aarhus, Denmark. tabar@eng.au.dk.ORCID http://orcid.org/0000-0002-3860-565X
Kaare B MikkelsenDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, Building 5125, 8200, Aarhus, Denmark.
Mike Lind RankUNEEG Medical A/S, Lynge, Denmark.
Martin Christian HemmsenUNEEG Medical A/S, Lynge, Denmark.
Marit OttoDepartment of Clinical Neurophysiology, Aarhus University Hospital, Aarhus, Denmark.
Preben KidmoseDepartment of Electrical and Computer Engineering, Aarhus University, Finlandsgade 22, Building 5125, 8200, Aarhus, Denmark.

Funding

Innovationsfonden 7050-00007
6 · The paper itself

Abstract

purposeTo assess automatic sleep staging of three ear-EEG setups with different electrode configurations and compare performance with concurrent polysomnography and wrist-worn actigraphy recordings.

methodsAutomatic sleep staging was performed for single-ear, single-ear with ipsilateral mastoid, and cross-ear electrode configurations, and for actigraphy data. The polysomnography data were manually scored and used as the gold standard. The automatic sleep staging was tested on 80 full-night recordings from 20 healthy subjects. The scoring performance and sleep metrics were determined for all ear-EEG setups and the actigraphy device.

resultsThe single-ear, the single-ear with ipsilateral mastoid setup, and the cross-ear setup performed five class sleep staging with kappa values 0.36, 0.63, and 0.72, respectively. For the single-ear with mastoid electrode and the cross-ear setup, the performance of the sleep metrics, in terms of mean absolute error, was better than the sleep metrics estimated from the actigraphy device in the current study, and also better than current state-of-the-art actigraphy studies.

conclusionA statistically significant improvement in both accuracy and kappa was observed from single-ear to single-ear with ipsilateral mastoid, and from single-ear with ipsilateral mastoid to cross-ear configurations for both two and five-sleep stage classification. In terms of sleep metrics, the results were more heterogeneous, but in general, actigraphy and single-ear with ipsilateral mastoid configuration were better than the single-ear configuration; and the cross-ear configuration was consistently better than both the actigraphy device and the single-ear configuration.

Indexed as

ActigraphyAdultEarElectrodesElectroencephalographyFemaleHumansMalePolysomnographyReproducibility of ResultsSleep StagesYoung AdultAmbulatory sleep monitoringEar-EEGLong-term sleep monitoringOutpatient sleep monitoring

Identifiers

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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.