Omkar2118/datasets huggingface dataset:
BMI/OpenBMI dataset for MI.
Full name: EEG dataset and OpenBMI toolbox for three BCI paradigms

BMI/OpenBMI dataset for MI.

Dataset from Lee et al 2019 [1].

### Dataset Description

EEG signals were recorded with a sampling rate of 1,000 Hz and collected with 62 Ag/AgCl electrodes. The EEG amplifier used in the experiment was a BrainAmp (Brain Products; Munich, Germany). The channels were nasion-referenced and grounded to electrode AFz. Additionally, an EMG electrode recorded from each flexor digitorum profundus muscle with the olecranon used as reference. The EEG/EMG channel configuration and indexing numbers are described in Fig. 1. The impedances of the EEG electrodes were maintained below 10 k during the entire experiment.

MI paradigm The MI paradigm was designed following a well-established system protocol. For all blocks, the first 3 s of each trial began with a black fixation cross that appeared at the center of the monitor to prepare subjects for the MI task. Afterwards, the subject performed the imagery task of grasping with the appropriate hand for 4 s when the right or left arrow appeared as a visual cue. After each task, the screen remained blank for 6 s (± 1.5 s). The experiment consisted of training and test phases; each phase had 100 trials with balanced right and left hand imagery tasks. During the online test phase, the fixation cross appeared at the center of the monitor and moved right or left, according to the real-time classifier output of the EEG signal.

### References

[1] Lee, M. H., Kwon, O. Y., Kim, Y. J., Kim, H. K., Lee, Y. E., Williamson, J., … Lee, S. W. (2019). EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy. GigaScience, 8(5), 1–16. https://doi.org/10.1093/gigascience/giz002
Munich Motor Imagery dataset
Full name: Motor imagery dataset from Grosse-Wentrup et al. 2009.

BMI/OpenBMI dataset for MI.

Dataset from Lee et al 2019 [1].

### Dataset Description
A trial started with the central display of a white fixation cross.  After 3 s, a white arrow was superimposed on the fixation cross,  either pointing to the left or the right. Subjects were instructed to  perform haptic motor imagery of the left or the right hand during  display of the arrow, as indicated by the direction of the arrow.  After another 7 s, the arrow was removed, indicating the end of the  trial and start of the next trial. While subjects were explicitly  instructed to perform haptic motor imagery with the specified hand,  i.e., to imagine feeling instead of visualizing how their hands moved,  the exact choice of which type of imaginary movement, i.e., moving the  fingers up and down, gripping an object, etc., was left unspecified. A  total of 150 trials per condition were carried out by each subject,  with trials presented in pseudorandomized order.

Ten healthy subjects (S1--S10) participated in the experimental  evaluation. Of these, two were females, eight were right handed, and  their average age was 25.6 years with a standard deviation of 2.5  years. Subject S3 had already participated twice in a BCI experiment,  while all other subjects were naive to BCIs. EEG was recorded at M=128  electrodes placed according to the extended 10--20 system. Data were  recorded at 500 Hz with electrode Cz as reference. Four BrainAmp  amplifiers were used for this purpose, using a temporal analog  high-pass filter with a time constant of 10 s. The data were  re-referenced to common average reference offline. Electrode  impedances were below 10 kΩ for all electrodes and subjects at the  beginning of each recording session. No trials were rejected and no  artifact correction was performed. For each subject, the locations of  the 128 electrodes were measured in three dimensions using a Zebris  ultrasound tracking system and stored for further offline analysis.

### References

[1]   Grosse-Wentrup, Moritz, et al. "Beamforming in noninvasive brain–computer interfaces." IEEE Transactions on Biomedical  Engineering 56.4 (2009): 1209-1219.