…The dataset consists of four types of data: 1) the motor imagery…
A longitudinal motor imagery brain-computer interface EEG dataset in which 20 healthy participants each completed seven sessions on separate days without feedback training. Four classes were recorded (left hand, right hand, both feet, rest) with a 41-channel Neuroscan system at 500 Hz, yielding 33,600 trials. The dataset supports research on the stability of motor imagery decoding across days and subjects.
…Data were recorded during a pilot experiment taking place in the GIPSA…
This dataset contains simultaneous multimodal EEG and functional near-infrared spectroscopy (fNIRS) recordings from patients undergoing general anesthesia. It is organized in BIDS format and supports research on brain activity and hemodynamics during anesthetic administration and changes in consciousness.
…Note that sub-01 served as a pilot so that its data…
…Our objective is to provides the data support for finding the difference…
…cm from a computer screen piloted from a PC computer. Two tasks…
…MI dataset Class for Dreyer2023 dataset management. MI dataset. ## Dataset Overview - **Code…
…Harvard Dataverse Data URL: https://doi.org/10.7910/DVN/J9JFES Publication…
EEG recordings from 25 healthy, BCI-naive right-handed participants performing motor imagery of two joints of the same limb (right hand and right elbow). Each participant completed 15 sessions over 3 days, giving 600 trials with 62-channel EEG sampled at 1000 Hz plus EOG. The dataset supports research on decoding fine-grained motor imagery within the same limb for motor rehabilitation and prosthetic control BCIs.