eegprep.pop_select#

eegprep.pop_select(EEG, **kwargs)#

Python port of EEGLAB’s pop_select for dict-based EEG.

Assumptions:
  • EEG is a dict (e.g., EEG[‘chanlocs’][0][‘X’] for channel coordinates).

  • eeg_decodechan(EEG, query, mode, labels=True/type=True) exists and returns int indices (0-based).

  • eeg_eegrej(EEG, bad_point_ranges) exists and returns an updated EEG after removing samples from continuous data. bad_point_ranges is an (N,2) array of [start,end] sample indices (1-based like EEGLAB).

Returns#

EEG_out, com