…healthy individuals and stroke patients (2 stroke) Clinical population: stroke Experimental Protocol…
A left/right-hand motor-imagery EEG dataset from 29 healthy participants recorded at the University of West Bohemia for brain-computer interface research. Participants performed cue-based, single-class imagery of left- or right-hand movement across four runs in one session. The data are re-released in BIDS format with HED event annotations via MOABB.
…Health status: mixed Clinical population: stroke (2 of 9 subjects); remaining subjects…
EEG recordings from 14 healthy, BCI-naive participants performing asynchronous voluntary index-finger tapping (right, left) and rest, originally reported by Wairagkar et al. (2018). Data were recorded at 1024 Hz from 19 scalp channels and preprocessed with filtering and ICA artifact removal. Trials are segmented around movement onset to study neural correlates of movement intention, and the dataset is distributed in BIDS format via MOABB.
…the individuals are stroke patients ("data from stroke patients (number unknown) for…
This dataset contains 19-channel EEG recordings from 7 healthy participants performing classical motor imagery of the left hand, right hand, and passive rest. Participants responded to visual arrow cues in offline sessions, without feedback. The recordings were made with a Nihon Kohden EEG-1200 system at 200 Hz. The data support brain-computer interface research and motor imagery classification benchmarking.
…brain-computer interface, motor imagery, mental tasks, EEG, CNS tissue damage, stroke…
A cross-session motor imagery EEG dataset from 10 healthy participants who performed cued left- versus right-hand motor imagery across two sessions. Recordings used 28 EEG channels sampled at 250 Hz with a Neuroscan SynAmps2 amplifier, with roughly 180 trials per session. In session 2, test trials included online feedback. The data were re-released in BIDS format via MOABB for brain-computer interface research.
M3CV is a multi-subject, multi-session, multi-task EEG database with 64-channel recordings from 95 healthy young adults. Each subject was recorded on two different days across six paradigms covering 13 distributed signal types: resting states, motor execution, transient visual, auditory and somatosensory responses, SSVEP, P300, SSAEP and SSSEP. The data were originally released for an EEG-based biometrics competition on Kaggle. This BIDS version reconstructs pseudo-continuous EEG from the distributed pre-epoched, preprocessed 250 Hz files.
…Healthy, Stroke - **Modality**: Motor - **Type**: Clinical, Research ## Documentation - **DOI**: 10.1038/s41597…