This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks with two conditions (cooperate and independent word imagery). The study employed a motor imagery paradigm with auditory and visual cues, yielding 1,200 trials that were preprocessed into 3,600 overlapping epochs (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)
- HED
- v8.4.0
- Size
- 252 MB
- Version
- v1.0.1
- Updated
- Jul 10, 2026