Random and Sequential Order Finger Motor Imagery
…org/10.82901/nemar.on008446) # Random and Sequential Order Finger Motor Imagery…
- Participants
- 20
- Channels
- 64 (10-10)
- Size
- 30.6 GB
- Version
- v1.0.0
- Updated
- Sep 8, 2026
…org/10.82901/nemar.on008446) # Random and Sequential Order Finger Motor Imagery…
…EM, LLP, MIX in pseudo-randomized order) ## Preprocessing - **Data state**: raw - **Preprocessing…
…target nine emotion categories, with randomized presentation order across participants. EEG was…
…1/4 octave. * Random inter-stimulus interval: randomized but averaging at a…
…image - normal training/test image presentation target - random catch trial (subject must…
…Apple Magic Keyboard (US English) **Text prompts**: - Random words from dictionary - Sentences…
…participant’s pace and the randomized duration of the fixation cross across…
…trials (15 left, 15 right, random order) with 5 min breaks; each…
…brain-computer interfaces, machine learning, random forests, regularized linear discriminant analysis, sensorimotor…
Beetl2021-A is a preprocessed four-class motor imagery EEG dataset (rest, left hand, right hand, feet) from Task 2 of the BEETL Competition at NeurIPS 2021. It contains 63-channel recordings at 500 Hz from healthy participants playing an online BCI racing game (Cybathlon2020IC), with 1490 trials of 4 s each in a single session. It serves as a benchmark for transfer learning and domain adaptation across heterogeneous EEG datasets and subjects, and is re-hosted in BIDS format via the MOABB pipeline.