Evidence map›Paper›PMID 38931756›Full record

ArticleSensors (Basel, Switzerland)2024

Evaluating the Electroencephalographic Signal Quality of an In-Ear Wearable Device.

Jeremy Pazuelo, Jose Yesith Juez, Hanane Moumane, Jan Pyrzowski, Liliana Mayor, Fredy Enrique Segura-Quijano, Mario Valderrama, Michel Le Van Quyen

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

8 authors.

Jeremy PazueloLaboratoire d'Imagerie Biomédicale (LIB) Inserm U1146, Sorbonne Université, UMR7371 CNRS, 15 Rue de l'Ecole de Medecine, 75006 Paris, France.ORCID 0009-0003-6545-3481
Jose Yesith JuezLaboratoire d'Imagerie Biomédicale (LIB) Inserm U1146, Sorbonne Université, UMR7371 CNRS, 15 Rue de l'Ecole de Medecine, 75006 Paris, France.
Hanane MoumaneLaboratoire d'Imagerie Biomédicale (LIB) Inserm U1146, Sorbonne Université, UMR7371 CNRS, 15 Rue de l'Ecole de Medecine, 75006 Paris, France.ORCID 0009-0002-4167-6018
Jan PyrzowskiDepartment of Emergency Medicine, Medical Unversity of Gdańsk, 80-214 Gdańsk, Poland.
Liliana MayorONIROS SAS-Comprehensive Sleep Care Center, Bogotá 110221, Colombia.
Fredy Enrique Segura-QuijanoDepartment of Electrical and Electronic Engineering, University of Los Andes, Bogotá 111711, Colombia.ORCID 0000-0001-7757-1432
Mario ValderramaDepartment of Biomedical Engineering, Universidad de Los Andes, Bogotá 111711, Colombia.ORCID 0000-0001-8791-6078
Michel Le Van QuyenLaboratoire d'Imagerie Biomédicale (LIB) Inserm U1146, Sorbonne Université, UMR7371 CNRS, 15 Rue de l'Ecole de Medecine, 75006 Paris, France.

Funding

Sorbonne University S21LRPV037
6 · The paper itself

Abstract

Wearable in-ear electroencephalographic (EEG) devices hold significant promise for advancing brain monitoring technologies into everyday applications. However, despite the current availability of several in-ear EEG devices in the market, there remains a critical need for robust validation against established clinical-grade systems. In this study, we carried out a detailed examination of the signal performance of a mobile in-ear EEG device from Naox Technologies. Our investigation had two main goals: firstly, evaluating the hardware circuit's reliability through simulated EEG signal experiments and, secondly, conducting a thorough comparison between the in-ear EEG device and gold-standard EEG monitoring equipment. This comparison assesses correlation coefficients with recognized physiological patterns during wakefulness and sleep, including alpha rhythms, eye artifacts, slow waves, spindles, and sleep stages. Our findings support the feasibility of using this in-ear EEG device for brain activity monitoring, particularly in scenarios requiring enhanced comfort and user-friendliness in various clinical and research settings.

Indexed as

EarElectroencephalographyWearable Electronic DevicesAdultAlpha RhythmArtifactsBrainFeasibility StudiesFemaleHumansMaleMiddle AgedSleepWakefulnessYoung Adultbioelectrical signalsbrain monitoringcorrelationin-ear and scalp EEGsin-ear sensorssignal qualitywearable devices

Identifiers

PMID38931756
PMCPMC11207223

What OpenQuestion holds

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Registered trials

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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.