Installation#

We support two installation modes, through pip, or mamba (conda).

Stable, from PyPI:

pip install sleepless

Latest beta, from GitLab package registry:

pip install --pre --index-url https://gitlab.idiap.ch/api/v4/groups/bob/-/packages/pypi/simple --extra-index-url https://pypi.org/simple sleepless

Tip

To avoid long command-lines you may configure pip to define the indexes and package search priorities as you like.

Stable:

mamba install -c https://www.idiap.ch/software/biosignal/conda -c conda-forge sleepless

Latest beta:

mamba install -c https://www.idiap.ch/software/biosignal/conda/label/beta -c conda-forge sleepless

Setup#

A configuration file may be useful to setup global options that should be often reused. The location of the configuration file depends on the value of the environment variable $XDG_CONFIG_HOME, but defaults to ~/.config/sleepless.toml. You may edit this file using your preferred editor.

Here is an example configuration file that may be useful as a starting point:

[datadir]
EDF = "/Users/myself/dbs/EDF"
MASS = "/Users/myself/dbs/MASS"

Tip

To get a list of valid data directories that can be configured, execute:

sleepless dataset list

You must procure and download datasets by yourself. The raw data is not included in this package as we are not authorised to redistribute it.

To check whether the downloaded version is consistent with the structure that is expected by this package, run:

sleepless dataset check EDF

Supported Datasets#

Here is a list of currently supported datasets in this package, alongside notable properties. Each dataset name is linked to the location where raw data can be downloaded.

Datasets

EEG channels

EOG channels

EMG channels

Annotation method

Train

Validation

Test

Reference

ST-EDF

3

1

1

R&K

28

8

8

[SLEEP_EDF-2018]

SC-EDF

3

1

1

R&K

97

28

28

[SLEEP_EDF-2018]

_SS3-MASS

20

2

3

AASM

33

10

10

[MASS-2014]