/mne-python-preproc

First go at a structured pipeline for the first preprocessing steps for MEG data (tested on three MEG datasets with PD patients and healthy controls)

Primary LanguagePython

mne-python-preproc

First go at a structured pipeline for the first preprocessing steps for MEG data (tested on three MEG datasets with PD patients and healthy controls)

Contains the following steps: Filtering ICA-based rejection of ECG and EOG artifacts

  • involves plotting and saving figures for this process
  • as well as an interactive function for inspecting the rejected components
    • this requires saving both the ICA solution and the ICA-cleaned data