The REH-MI dataset is an EEG motor imagery (MI) dataset developed for rehabilitation-oriented research. It comprises 9,180 trials recorded using a 32-channel Emotiv EPOC Flex headset from 18 healthy, right-handed male participants across two sessions. Each trial corresponds to one of four right-hand conditions: imagined finger movement, wrist movement, elbow flexion, or rest, totaling 510 trials per subject.
Many stroke survivors are unable to effectively control brain-computer interface (BCI) devices due to insufficient sensorimotor activity generated during motor imagery. Previous studies focused on upregulating motor cortex excitability and overlooked the important role that motor imagery plays on BCI control. Dorsolateral prefrontal cortex (DLPFC), an important region for motor imagery, may serve as an effective target for improving BCI performance.
The dataset consists of EEG recorded non-invasively from five participants while they are performing a handwriting imagery task, in which each participant was instructed to imagine the process of handwriting the 26 English letters. Major preprocessing steps have been conducted, including large-amplitude artifact removal using Independent Component Analysis and bandpass filtering between 0.1-45 Hz.
In this study, we collected EEG and EMG data from 16 subjects during the MI process and constructed a homemade MI-hBCI dataset. The participants included 10 males (mean age: 22.3±3.1 years) and 6 females (mean age: 22.1±2.4 years). All the subjects were right-handed, had normal vision, and had no motor impairment; all the participants signed a consent form and were informed of the experimental procedure and precautions before the experiment.
Design of EEG-TMS experiment. The figure shows the timeline of the experimental session, the illustration of the typical sequence of the visual cues and the structure of one trial, and the illustration of the time intervals of interest within a trial: Pre is the baseline pre-que interval [-4.5 -0.5] s; Post is the post-cue interval [0 0.5] s; Img is the interval [1 3] s of motor imagery execution; here, t=0 corresponds to the moment of the appearance of the visual cue to start the movement.
