carried out to remove the noise and artefacts from the data. We used EEGLAB toolbox for preprocessing and FastICA algorithm was used to remove the artifacts from the electrooculography (EOG) and electromyography (EMG) artifacts out of the EEG signals [49]. A 50 Hz infinite impulse response notch filter was used to clean the AC powerline noise. Impedance was kept below 5 kΩ. EEG data were filtered into a 0.5–45 Hz band using the band pass finite impulse response filter (2nd order Butterworth. For analysis, MATLAB R2019b (MathWorks Inc., Natick, MA, USA) was used.