Munich Motor Imagery dataset
- Participants
- 10
- Channels
- 128 (other)
- HED
- v8.4.0
- Size
- 5.42 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "mobile brain imaging" · page 3 of 10 · ranked by relevance
…collected at the Berlin Mobile Brain-Body Imaging Lab, while they rotated…
…The entire experiment was mobile and the participant wore a fanny pack…
…applications in AR/VR, mobile computing, and brain-computer interfaces. This is…
64-ch EEG, 95 subjects, 2 sessions, 6 paradigms (13 tasks). BrainAmp 250Hz Easycap 64-ch. DOI:10.1016/j.neuroimage.2022.119666
This dataset comprises electroencephalographic recordings from 32 participants performing motor imagery tasks during sit-to-stand and stand-to-sit transitions in both offline and online brain-computer interface (BCI) paradigms. Participants completed guided motor imagery trials while seated or standing, with EEG signals recorded from 17 channels at 250 Hz. The dataset includes offline calibration phases used to train machine learning classifiers and corresponding online validation phases where real-time BCI decoding was performed, providing a comprehensive resource for investigating neural correlates of postural transitions and BCI performance.
…There was no alignment to other imaging modalities or standardized atlases.
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…
…EEG-BIDS, an extension to the brain imaging data structure for electroencephalography…