KempSleepEDF2013#

class brainsets.datasets.KempSleepEDF2013(root=None, recording_ids=None, transform=None, uniquify_channel_ids=True, fold_number=0, fold_type='intrasession', dirname='kemp_sleep_edf_2013', **kwargs)[source]#

Bases: Dataset

Sleep-EDF Database Expanded containing 197 whole-night polysomnographic sleep recordings.

Preprocessing

To download and prepare this dataset, run

brainsets prepare kemp_sleep_edf_2013
Parameters:

  • root (str, optional) – Root directory for the dataset. Defaults to processed_dir from brainsets config.

  • recording_ids (list[str], optional) – List of recording IDs to load.

  • transform (Callable, optional) – Data transformation to apply.

  • uniquify_channel_ids (bool, optional) – Whether to prefix channel IDs with session ID to ensure uniqueness. Defaults to True.

  • fold_number (int, optional) – The cross-validation fold index (0 to 2 for a 3-fold split). Defaults to 0.

  • fold_type (str, optional) – The splitting strategy. Must be one of: - “intrasession”: Epoch-level stratified split within each session. - “intersubject”: Subject-level split (subjects are assigned to train/valid/test). - “intersession”: Session-level split (subject-session pairs are assigned to train/valid/test). Defaults to “intrasession”.

  • dirname (str, optional) – Subdirectory for the dataset. Defaults to “kemp_sleep_edf_2013”.

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