Hello all I hope you are doing great.
I am trying to remove the artifacts (EOG, EMG) from this EEG dataset
https://www.nature.com/articles/sdata201447
It has EEG recordings of 12 Subjects, 9 Sessions for each, each session containing around 29-34 trials.
I filtered the data with a FIR zero phase filter between 0.1-40 Hz and re-referenced to the average, and afterwards applied ICA for each session and used the Fp1, and Fp2 channels to remove correlated components.
eog_indices, _ = ica.find_bads_eog(eeg_data1, ch_name=[“Fp1”, “Fp2”])
ica.exclude = eog_indices
is this a proper way of doing it? this is my first time working with EEG data. Any help would be appreciated
Thank you all