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

This dataset contains preprocessed EEG recordings from 6 healthy participants performing imagined speech tasks with three short word conditions (out, in, up). Data were acquired at 256 Hz using 64 channels and analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications. The motor imagery paradigm employed auditory and visual cueing, yielding 5,400 trials suitable for BCI research and benchmarking.

Participants: 6
Channels: 60 (10-10)
Citations: 98
HED: v8.4.0
Size: 1.90 GB
Version: v1.0.3
Updated: Aug 18, 2026

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