YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.

[TNSRE 2021] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

An open-source sleep stage classification Python package

Sleep stage detection using ECG

[IEEE JBHI] "MultiChannelSleepNet: A Transformer-Based Model for Automatic Sleep Stage Classification With PSG"

[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Official implementation of our MICCAI 2022 paper "mulEEG: A Multi-View Representation Learning on EEG Signals"

This is an official implementation for "Intra- and inter-epoch temporal context network (IITNet) using sub-epoch features for automatic sleep scoring on raw single-channel EEG".

ICLR 2023 paper - ManyDG - Dataset processing and mode codes

Sleep staging from ECG, assisted with EEG

Neural-networks based sleep staging in tensorflow, and evalutation with Fourier-transform based surrogates.

A lightweight version of the Sleep module of the Visbrain package

Updated and moderized Fork of "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"

Class wrapper of the yasa package to detect drowsiness/sleep phase using EEG data