nm000231
P300 dataset from Hoffmann et al 2008
EEG
A P300 brain-computer interface dataset comprising EEG recordings from 8 subjects (4 disabled, 4 able-bodied) performing a visual oddball task with image stimuli. The dataset includes 32-channel EEG data sampled at 2048 Hz from 4 sessions per subject, with 810 total trials (135 targets, 675 non-targets) classified using Fisher's linear discriminant analysis and Bayesian linear discriminant analysis. This derivative dataset demonstrates high classification accuracy (100%) and information transfer rates suitable for BCI applications in disabled populations.
- Participants
- 8
- Channels
- 32 (10-10)
- Citations
- 82
- HED
- v8.4.0
- Size
- 4.08 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026