braindecode.preprocessing.scale¶

braindecode.preprocessing.scale(data, factor)¶

DEPRECATED: will be removed in 0.7.0. Use numpy.multiply instead.

Scale continuous or windowed data in-place

Parameters

data: np.ndarray (n_channels x n_times) or (n_windows x n_channels x
n_times): continuous or windowed signal
factor: float: multiplication factor

Returns

scaled: np.ndarray (n_channels x n_times) or (n_windows x n_channels x
n_times): normalized continuous or windowed data
..note:: If this function is supposed to preprocess continuous data, it should be given to raw.apply_function().

Examples using `braindecode.preprocessing.scale`¶

Process a big data EEG resource (TUH EEG Corpus) — Process a big data EEG resource (TUH EEG Corpus)¶

Data Augmentation on BCIC IV 2a Dataset — Data Augmentation on BCIC IV 2a Dataset¶

Sleep staging on the Sleep Physionet dataset using Eldele2021 — Sleep staging on the Sleep Physionet dataset using Eldele2021¶

Sleep staging on the Sleep Physionet dataset using Chambon2018 network — Sleep staging on the Sleep Physionet dataset using Chambon2018 network¶

Trialwise Decoding on BCIC IV 2a Dataset — Trialwise Decoding on BCIC IV 2a Dataset¶

Cropped Decoding on BCIC IV 2a Dataset — Cropped Decoding on BCIC IV 2a Dataset¶

Self-supervised learning on EEG with relative positioning — Self-supervised learning on EEG with relative positioning¶