sleepless.configs.datasets.EDF.sc_filtered_crop_wake

Sleep-EDF (expanded) dataset for sleep analysis.

The database includes 197 all night PSGs recording in 2 subsets (SC and ST):

ST contains 44 PSG (9-hours-night) of 22 Caucasian (between 18-79 years old), healthy (without medication) but with difficulty to fall asleep.

SC contains 153 PSG (20 hours) of 78 Caucasian (between 25-101 years old), healthy (without medication)

In this protocol all the raw data have been filtered with a pass band filter [0.3,30] Hz. Only 30 minutes

of the wake times have been kept before and after the night.

• Reference: [SLEEP_EDF-2018]

• Protocol sc-filtered-crop-wake:

  • Train split: 97 (from Sc subset)

  • Validation split: 28 (from SC subset)

  • Test split: 28 (from SC subset)

from . import raw

dataset = raw.subsets("sc-filtered-crop-wake")

dataset_as_test = {
    "edf_sc_crop_train": dataset["train"],
    "edf_sc_crop_validation": dataset["validation"],
    "edf_sc_crop_test": dataset["test"],
}