ffrprep.preproc.filter_data¶

ffrprep.preproc.filter_data(eeg_data=None, high_pass=None, low_pass=None)[source]¶

Apply frequency filters to the provided EEG data object.

Parameters:

eeg_data (MNE data object) – MNE data object containing EEG data and metadata.
high_pass (float) – Lower passband edge (in Hertz). Default = None.
low_pass (float) – Upper passband edge (in Hertz). Default = None.

Returns:

filtered_eeg – EEG data filtered to given frequency range.

Return type:

MNE data object

Examples

Filter an EEG data object with a band-pass filter (1-40 Hz).

>>> filtered_data = filter_data(eeg_data, high_pass=1.0, low_pass=40.0)

Filter an EEG data object with a high-pass filter (0.1 Hz).

>>> filtered_data = filter_data(eeg_data, high_pass=0.1)

Filter an EEG data object with a low-pass filter (100 Hz).

>>> filtered_data = filter_data(eeg_data, low_pass=100.0)