braindecode.preprocessing.Preprocessor#
- class braindecode.preprocessing.Preprocessor(fn, *, apply_on_array=True, **kwargs)[source]#
Preprocessor for an MNE Raw or Epochs object.
Applies the provided preprocessing function to the data of a Raw or Epochs object. If the function is provided as a string, the method with that name will be used (e.g., ‘pick_channels’, ‘filter’, etc.). If it is provided as a callable and apply_on_array is True, the apply_function method of Raw and Epochs object will be used to apply the function on the internal arrays of Raw and Epochs. If apply_on_array is False, the callable must directly modify the Raw or Epochs object (e.g., by calling its method(s) or modifying its attributes).
- Parameters:
fn (str or callable) – If str, the Raw/Epochs object must have a method with that name. If callable, directly apply the callable to the object.
apply_on_array (bool) – Ignored if fn is not a callable. If True, the apply_function of Raw and Epochs object will be used to run fn on the underlying arrays directly. If False, fn must directly modify the Raw or Epochs object.
kwargs – Keyword arguments to be forwarded to the MNE function.
Methods
Examples using braindecode.preprocessing.Preprocessor#
Benchmarking preprocessing with parallelization and serialization
Fingers flexion cropped decoding on BCIC IV 4 ECoG Dataset
Searching the best data augmentation on BCIC IV 2a Dataset
Self-supervised learning on EEG with relative positioning
Fingers flexion decoding on BCIC IV 4 ECoG Dataset
Sleep staging on the Sleep Physionet dataset using Chambon2018 network
Sleep staging on the Sleep Physionet dataset using Eldele2021
Sleep staging on the Sleep Physionet dataset using U-Sleep network
