Evidence map›Paper›PMID 41786741›Full record

ArticleScientific data2026

EEG dataset of consumer- and research-grade systems.

Yeeun Lee, Daeun Gwon, Kiyoun Kim, Seokhwan Park, Semin Sohn, Minuck Choi, Minho Choi, Jang-Han Bae, Minkyu Ahn

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. 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. 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

9 authors.

Yeeun LeeDepartment of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.
Daeun GwonDepartment of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.
Kiyoun KimSchool of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.
Seokhwan ParkSchool of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.
Semin SohnSchool of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.
Minuck ChoiSchool of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea.
Minho ChoiDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Jang-Han BaeDigital Health Research Division, Korea Institute of Oriental Medicine, Daejeon, Republic of Korea.
Minkyu AhnDepartment of Computer Science and Electrical Engineering, Handong Global University, Pohang, Republic of Korea. minkyuahn@handong.edu.ORCID http://orcid.org/0000-0001-6512-0167

Funding

Korea Institute of Oriental Medicine (KIOM) KSN2313022National Research Council of Science and Technology (National Research Council of Science & Technology) CRC22014-500National Research Foundation of Korea (NRF) 2021R1I1A3060828
6 · The paper itself

Abstract

An open electroencephalography (EEG) dataset is presented for evaluating consumer-grade EEG devices in comparison with a research-grade EEG device. Datasets were collected from 30 participants using four consumer-grade EEG devices (BrainLink Pro, NeuroNicle FX2, MindWave Mobile 2, Muse 2), including two single-channel headsets (BrainLink Pro and MindWave Mobile 2), and one research-grade EEG device (DSI-24). Each participant completed four experimental paradigms: eye blinks, jaw clenching, head movements with eyes open, and head movements with eyes closed, with the resting-state EEG data recorded before and after each task. The dataset enables the validation of device signal quality, the assessment of neural features such as alpha-band activity, and the examination of robustness to movement-induced artifacts. The dataset is publicly available on Figshare.

Indexed as

ElectroencephalographyHumans

Identifiers

PMID41786741
PMCPMC13076875

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.