I have downloaded dataset of eeg from open vibe site.The datasets includes 14 records of left and right hand motor imagery, 11 channels : C3, C4, Nz, FC3, FC4, C5, C1, C2, C6, CP3 and CP4.Each file contains 40 trials where the subject was requested to imagine either left or right hand movements (20 each). I have taken one such record which is of .csv format.i converted that .csv file to .mat. I have applied wavelets(dwt) for band separation.I found out the frequencies for each band,but dont know whether correct or not.
Any body please help me . I want to apply a classifier and should check whether the signal processing/features are ok or not. Is it possible to do classification using this data.