Face processing EEG dataset for EEGLAB
Imported from OpenNeuro ds002718
- Participants
- 18
- Citations
- 92
- Size
- 4.30 GB
- Version
- v1.0.0
- Updated
- May 25, 2026
100 results for "automated sleep classification" · page 3 of 10 · ranked by relevance
Imported from OpenNeuro ds002718
…This study is called 'sleep1', and is the pilot study for 'sleep2…
…This dataset was used to develop and validate the Automated Preprocessing Pipe…
…There are 4 verbal instructions given to subject by an automated computer…
A large longitudinal dataset of sensorimotor rhythm-based brain-computer interface (BCI) training in 62 healthy adults. The dataset comprises over 600 hours of EEG recordings collected across up to 11 training sessions per participant, containing more than 250,000 trials of motor-imagery tasks (left hand, right hand, both hands, and rest). This resource enables investigation of BCI learning dynamics and algorithm development for non-invasive neural control applications.
…It contains iEEGs collected from 114 individuals during slow wave sleep. The…
…Complete a semi-automated driving task involving lane maintenance, following distance from…
…take-over during simulated, semi-automated driving in a leader-follower paradigm…
…The original study investigated a fully automated trial selection method for optimization…