nm000171
BNCI 2014-002 Motor Imagery dataset
EEG Zarr
Electroencephalographic recordings from 14 healthy participants performing a cue-guided, two-class motor imagery task (right hand versus feet) in a Graz-BCI paradigm with continuous visual feedback. Each participant completed a single session of 8 runs and 160 trials, recorded with 15 EEG channels at 512 Hz. The dataset was used to compare random forest and regularized LDA classifiers for sensorimotor rhythm brain-computer interfaces.
- Participants
- 14
- Channels
- 15 (other)
- HED
- v8.4.0
- Size
- 1.37 GB
- Version
- v1.0.5
- Updated
- Oct 8, 2026