Evidence map›Paper›PMID 36765121›Full record

ArticleScientific data2023

Open multi-session and multi-task EEG cognitive Dataset for passive brain-computer Interface Applications.

Marcel F Hinss, Emilie S Jahanpour, Bertille Somon, Lou Pluchon, Frédéric Dehais, Raphaëlle N Roy

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Marcel F HinssISAE-SUPAERO, Université de Toulouse, Toulouse, France. marcel.hinss@isae-supaero.fr.ORCID 0000-0001-9977-4070
Emilie S JahanpourISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Bertille SomonDTIS, ONERA, F-13661 Salon Cedex Air, France.
Lou PluchonISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Frédéric DehaisISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Raphaëlle N RoyISAE-SUPAERO, Université de Toulouse, Toulouse, France.
Université Fédérale de Toulouse Midi-Pyrénées · FRInstitut Superieur de l'Aeronautique et de l'Espace (ISAE-SUPAERO) · FROffice National d'Études et de Recherches Aérospatiales · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain-Computer Interfaces and especially passive Brain-Computer interfaces (pBCI), with their ability to estimate and monitor user mental states, are receiving increasing attention from both the fundamental research and the applied research and development communities. Testing new pipelines and benchmarking classifiers and feature extraction algorithms is central to further research within this domain. Unfortunately, data sharing in pBCI research is still scarce. The COG-BCI database encompasses the recordings of 29 participants over 3 separate sessions with 4 different tasks (MATB, N-Back, PVT, Flanker) designed to elicit different mental states, for a total of over 100 hours of open EEG data. This dataset was validated on a subjective, behavioral and physiological level, to ensure its usefulness to the pBCI community. Furthermore, a proof of concept is given with an example of mental workload estimation pipeline and results, to ensure that the data can be used for the design and evaluation of pBCI pipelines. This body of work presents a large effort to promote the use of pBCIs in an open science framework.

Indexed as

Brain-Computer InterfacesElectroencephalographyAlgorithmsCognitionHumans

Identifiers

PMID36765121
PMCPMC9918545
OpenAlexW4319970836

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.