raw : instance of Raw
ch_name : None | str
The name of the channel to use for ECG peak detection.
If None (default), a synthetic ECG channel is created from
cross channel average. Synthetic channel can only be created from
‘meg’ channels.
event_id : int
The index to assign to found events
picks : array-like of int | None (default)
Indices of channels to include (if None, all channels are used).
tmin : float
tmax : float
l_freq : float
h_freq : float
reject : dict | 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, # uV (EEG channels)
eog=250e-6 # uV (EOG channels)
)
flat : dict | 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.
baseline : tuple 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 ot (None, None) all the time
interval is used. If None, no correction is applied.
preload : bool
keep_ecg : bool
When ECG is synthetically created (after picking),
should it be added to the epochs? Defaults to False.
verbose : bool, str, int, or None
If not None, override default verbose level (see mne.verbose).
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