Getting averaging info from .fif files ====================================== Parse averaging information defined in Elekta Vectorview/TRIUX DACQ (data acquisition). Extract and average epochs accordingly. Modify some averaging parameters and get epochs. """ # Author: Jussi Nurminen ([email protected]) # # License: BSD (3-clause) import mne import os from mne.datasets import multimodal fname_raw = os.path.join(multimodal.data_path(), 'multimodal_raw.fif') print(__doc__) ############################################################################### # Read raw file raw = mne.io.read_raw_fif(fname_raw) ############################################################################### # Check DACQ defined averaging categories and other info print(raw.acqparser) ############################################################################### # Extract epochs corresponding to a category cond = raw.acqparser.get_condition(raw, 'Auditory right') epochs = mne.Epochs(raw, **cond)
====================================== Parse averaging information defined in Elekta Vectorview/TRIUX DACQ (data acquisition). Extract and average epochs accordingly. Modify some averaging parameters and get epochs. """ # Author: Jussi Nurminen ([email protected]) # # License: BSD (3-clause) import mne import os from mne.datasets import multimodal fname_raw = os.path.join(multimodal.data_path(), 'multimodal_raw.fif') print(__doc__) ############################################################################### # Read raw file raw = mne.io.read_raw_fif(fname_raw) ############################################################################### # Check DACQ defined averaging categories and other info print(raw.acqparser) ############################################################################### # Extract epochs corresponding to a category cond = raw.acqparser.get_condition(raw, 'Auditory right')