…reach_onset ReachEvents timestamp, with the reach features of the same row…
Resting-state EEG recordings from 19 healthy participants who alternated between eyes-closed and eyes-open conditions in 10-second trials. Data were acquired with a 16-channel g.tec g.USBamp system at 512 Hz to study posterior alpha-band (8-12 Hz) modulation. The dataset is distributed in BIDS format via MOABB and originates from the GIPSA-lab Alpha Waves dataset.
…Each sound had five different binary features, i.e. duration (short: 400…
…that indicating the day and time point of recording during the monitoring…
EEG recordings from 10 healthy participants performing an online P300 row-column speller task with a 6x6 character matrix. The study compared two stimulus types, Famous Faces and Inverting, in combination with language models for online classification. Data were recorded from 32 channels at 256 Hz across two sessions per subject with three runs each, and are annotated with HED tags.
…recording the start and stop times of presentations. #### Active Tasks 4. **Contrast…
…recording the start and stop times of presentations. #### Active Tasks 4. **Contrast…
SSVEP dataset (MAMEM Dataset III) of 14-channel Emotiv EPOC EEG recorded from 11 healthy, BCI-naive subjects who focused on flickering boxes at five frequencies (6.66, 7.50, 8.57, 10.00 and 12.00 Hz). The recordings accompany a comparative evaluation of algorithms for filtering, artifact removal, feature extraction and classification in SSVEP-based brain-computer interfaces. The data are preprocessed (5-48 Hz bandpass, 50 Hz notch, AMUSE/ICA artifact removal, common average reference) and organized in BIDS with HED annotations.
…recording the start and stop times of presentations. #### Active Tasks 4. **Contrast…
This dataset contains the steady-state visual evoked potential (SSVEP) paradigm of the Mobile BCI dataset from Lee et al. (2021). It provides scalp EEG and EOG recordings from healthy participants who viewed visual flickers at 5.45, 8.57, and 12 Hz while standing, walking, and running on a treadmill. It supports research on brain-computer interface decoding during locomotion.