moabb.paradigms.FixedIntervalWindowsProcessing#
- class moabb.paradigms.FixedIntervalWindowsProcessing(fmin=7, fmax=45, baseline=None, channels=None, resample=None, length: float = 5.0, stride: float = 10.0, start_offset=0.0, stop_offset=None, marker=-1)[source]#
Fixed interval windows processing.
Paradigm for creating epochs at fixed interval, ignoring the stim channel and events of the dataset.
- Parameters
- fmin: float (default 7)
cutoff frequency (Hz) for the high pass filter
- fmax: float (default 45)
cutoff frequency (Hz) for the low pass filter
- baseline: None | tuple of length 2
The time interval to consider as “baseline” when applying baseline correction. If None, do not apply baseline correction. If a tuple (a, b), the interval is between a and b (in seconds), including the endpoints. Correction is applied by computing the mean of the baseline period and subtracting it from the data (see mne.Epochs)
- channels: list of str | None (default None)
list of channel to select. If None, use all EEG channels available in the dataset.
- resample: float | None (default None)
If not None, resample the eeg data with the sampling rate provided.
- length: float (default 5.0)
Length of the epochs in seconds.
- stride: float (default 10.0)
Stride between epochs in seconds.
- start_offset: float (default 0.0)
Start from the beginning of the raw recordings in seconds.
- stop_offset: float | None (default None)
Stop offset from beginning of raw recordings in seconds. If None, set to be the end of the recording.
- marker: int (default -1)
Marker to use for the events created.
