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

This dataset comprises preprocessed EEG recordings from 8 healthy subjects performing imagined speech tasks involving three vowel phonemes (a, i, u). Participants received auditory and visual cues to imagine speaking each vowel, with 64-channel EEG data acquired at 256 Hz. The dataset includes 2,400 trials generating 7,200 overlapping 2-second epochs (8 subjects × 300 trials × 3 overlapping epochs per trial) analyzed using Riemannian manifold-based feature extraction and relevance vector machine classification for brain-computer interface applications, achieving approximately 49% mean accuracy across a 10-fold cross-validation scheme.

Participants: 8
Channels: 60 (10-10)
Citations: 96
HED: v8.4.0
Size: 2.58 GB
Version: v1.0.3
Updated: Aug 18, 2026

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