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Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)

This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks involving two conditions: cooperate and independent word imagery. The study employed a motor imagery paradigm with auditory and visual cues, yielding 3,600 preprocessed trials (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.

Participants: 6
Channels: 60 (10-10)
Citations: 97
HED: v8.4.0
Size: 1.27 GB
Version: v1.0.3
Updated: Aug 18, 2026

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Imagined speech EEG dataset — long words condition (Nguyen et al. 2017)