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@@ -133,6 +133,7 @@ for i, p_row in p_list.iterrows():
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# interpolate bad channels (spherical spline method) to avoid biasing average reference
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print('Interpolating electrodes: ', raw.info['bads'])
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+ n_chs_interpolated = len(raw.info['bads'])
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raw = raw.interpolate_bads(method={'eeg': 'spline'})
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# raw.plot()
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@@ -261,6 +262,7 @@ for i, p_row in p_list.iterrows():
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subj_metadata['n_epochs'] = len(epochs_nt)
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subj_metadata['n_epochs_excluded'] = 750 - len(epochs_nt)
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subj_metadata['n_extra_chans_excluded'] = len(new_chs_to_interp)
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+ subj_metadata['n_total_chans_interpolated'] = n_chs_interpolated
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subj_metadata['n_preprocessing_attempts'] = n_attempts
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# save epochs object
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