…on motor-imagery brain–computer interfaces (BCI) for lower-limb and gait…
…Beamforming, brain-computer interfaces, common spatial patterns, electroencephalography, motor imagery, spatial filtering…
A multi-day EEG dataset for motor imagery brain-computer interface (MI-BCI) research collected at Shanghai University (WBCIC-SHU). It contains recordings from 51 healthy, BCI-naive participants who performed left- and right-hand motor imagery over three sessions on different days. A subset of 11 participants also performed a three-class paradigm that adds foot-hooking imagery. Recordings were made with a 59-channel EEG system and the dataset is accompanied by benchmark classification results using CSP, FBCSP, EEGNet, deepConvNet and FBCNet.
An intracranial EEG (iEEG) dataset recorded from ten epilepsy patients undergoing invasive monitoring for seizure localization. Participants played five sessions of Speed Match, a visuomotor game on the Lumosity platform, during interictal recording. Continuous iEEG recordings are provided in EDF format with channel information and event markers for finger tapping.
[ and neural decoding of overt…
This dataset contains EEG recordings, along with PPG, respiration, ECG and accelerometry, from 20 healthy volunteers performing cued left- versus right-hand motor imagery of a bimanual rowing task. Sessions were part of brain-computer interface training in the NeuRow environment, comparing Graz and virtual-reality conditions with optional haptic and head-mounted-display feedback. The data are a BIDS re-release of the original Zenodo deposit, produced via MOABB, for neurorehabilitation-oriented BCI research.
A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.
A cross-session motor imagery EEG dataset from 14 healthy participants who performed cued left- versus right-hand motor imagery on two separate days. Data were recorded with 28 EEG channels at 250 Hz and comprise 60 trials per class per session. The dataset supports research on brain-computer interface decoding and cross-session variability, and it is distributed here in BIDS format with HED event annotations.