EEG dataset of consumer- and research-grade systems

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.

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Publication Details

Journal
Scientific Data
Published
2026-03-05
DOI
https://doi.org/10.1038/s41597-026-06962-5
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00

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EEG dataset of consumer- and research-grade systems

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Scientific Data
EEG and Brain-Computer Interfaces
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EEG dataset of consumer- and research-grade systems

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

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.

Scientific Data
Handong Global University (KR), Korea Institute of Oriental Medicine (KR), Korea Research Institute of Bioscience and Biotechnology (KR)
National Research Foundation, Korea Institute of Oriental Medicine, National Research Foundation of Korea, National Research Council of Science and Technology, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 37%
EEG and Brain-Computer Interfaces
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