mne.preprocessing.create_eog_epochs

mne.preprocessing.create_eog_epochs(raw, ch_name=None, event_id=998, picks=None, tmin=-0.5, tmax=0.5, l_freq=1, h_freq=10, reject=None, flat=None, baseline=None, preload=True, reject_by_annotation=True, thresh=None, verbose=None)[source]

Conveniently generate epochs around EOG artifact events.

Parameters
rawinstance of Raw

The raw data

ch_namestr

The name of the channel to use for EOG peak detection. The argument is mandatory if the dataset contains no EOG channels.

event_idint

The index to assign to found events

picksstr | list | slice | None

Channels to include. Slices and lists of integers will be interpreted as channel indices. In lists, channel type strings (e.g., ['meg', 'eeg']) will pick channels of those types, channel name strings (e.g., ['MEG0111', 'MEG2623'] will pick the given channels. Can also be the string values “all” to pick all channels, or “data” to pick data channels. None (default) will pick all channels.

tminfloat

Start time before event.

tmaxfloat

End time after event.

l_freqfloat

Low pass frequency to apply to the EOG channel while finding events.

h_freqfloat

High pass frequency to apply to the EOG channel while finding events.

rejectdict | None

Rejection parameters based on peak-to-peak amplitude. Valid keys are ‘grad’ | ‘mag’ | ‘eeg’ | ‘eog’ | ‘ecg’. If reject is None then no rejection is done. Example:

reject = dict(grad=4000e-13, # T / m (gradiometers)
              mag=4e-12, # T (magnetometers)
              eeg=40e-6, # V (EEG channels)
              eog=250e-6 # V (EOG channels)
              )
flatdict | None

Rejection parameters based on flatness of signal. Valid keys are ‘grad’ | ‘mag’ | ‘eeg’ | ‘eog’ | ‘ecg’, and values are floats that set the minimum acceptable peak-to-peak amplitude. If flat is None then no rejection is done.

baselinetuple or list of length 2, or None

The time interval to apply rescaling / baseline correction. If None do not apply it. If baseline is (a, b) the interval is between “a (s)” and “b (s)”. If a is None the beginning of the data is used and if b is None then b is set to the end of the interval. If baseline is equal to (None, None) all the time interval is used. If None, no correction is applied.

preloadbool

Preload epochs or not.

reject_by_annotationbool

Whether to reject based on annotations. If True (default), segments whose description begins with 'bad' are not used for finding artifacts and epochs overlapping with them are rejected. If False, no rejection based on annotations is performed.

New in version 0.14.0.

threshfloat

Threshold to trigger EOG event.

verbosebool, str, int, or None

If not None, override default verbose level (see mne.verbose() and Logging documentation for more).

Returns
eog_epochsinstance of Epochs

Data epoched around EOG events.

Notes

Filtering is only applied to the EOG channel while finding events. The resulting eog_epochs will have no filtering applied (i.e., have the same filter properties as the input raw instance).