Omkar2118/datasets huggingface dataset:
Motor Imagery dataset from Cho et al 2017.
Full name: Cho et al 2017

**Dataset Description**

 We conducted a BCI experiment for motor imagery movement (MI movement)
 of the left and right hands with 52 subjects (19 females, mean age ±
 SD age = 24.8 ± 3.86 years); Each subject took part in the same
 experiment, and subject ID was denoted and indexed as s1, s2, ...,
 s52. Subjects s20 and s33 were both-handed, and the other 50 subjects
 were right-handed.

 EEG data were collected using 64 Ag/AgCl active electrodes. A
 64-channel montage based on the international 10-10 system was used to
 record the EEG signals with 512 Hz sampling rates. The EEG device used
 in this experiment was the Biosemi ActiveTwo system. The BCI2000
 system 3.0.2 was used to collect EEG data and present instructions
 (left hand or right hand MI). Furthermore, we recorded EMG as well as
 EEG simultaneously with the same system and sampling rate to check
 actual hand movements. Two EMG electrodes were attached to the flexor
 digitorum profundus and extensor digitorum on each arm.

 Subjects were asked to imagine the hand movement depending on the
 instruction given. Five or six runs were performed during the MI
 experiment. After each run, we calculated the classification accuracy
 over one run and gave the subject feedback to increase motivation.
 Between each run, a maximum 4-minute break was given depending on the
 subject\'s demands.