sleepless.configs.datasets.EDF.sc_filtered#
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.
Reference: [SLEEP_EDF-2018]
Protocol
sc-filtered
: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")
dataset_as_test = {
"edf_sc_train": dataset["train"],
"edf_sc_validation": dataset["validation"],
"edf_sc_test": dataset["test"],
}