polysomnography

EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.

Wearanize+ is a multimodal sleep dataset containing overnight sleep data from 130 young, healthy participants using PSG and three wearables

😴 DeepSleep2 is a compact U-Net-inspired convolutional neural network with 740,551 parameters, designed to predict non-apnea sleep arousals from full-length multi-channel polysomnographic recordings at 5-millisecond resolution. Achieves similar performance to DeepSleep with lower computational cost.

Automated polysomnography for experimental animal research

Method for detecting sleep spindles using EEGlab functions and datasets

Official implementation of our paper "ENHANCING HEALTHCARE WITH EOG: A NOVEL APPROACH TO SLEEP STAGE CLASSIFICATION"

Official implementation of our paper "Transparency in Sleep Staging: Deep Learning Method for EEG Sleep Stage Classification with Model Interpretability"

Competitive apnea detector for polysomnographic data

Deep learning-based apnea event classification using PSG data with TCNs and advanced signal processing.

A Python package for sleep analysis and hypnogram processing

Detecting events in sleeping tinnitus patients

A mathematical framework for measuring the dynamics of consciousness. The framework uses a composite index of scale-free temporal organisation, cross-frequency organisation, and metastability.

ScoreREM: A user friendly Matlab-GUI for rapid eye movement (REM) sleep microstructure annotation and quantification

Forked from https://bitbucket.org/yehezkel/edf-parser

Source code for the paper "Automatic Actigraphy and Polysomnography Sleep Scoring using Deep Learning".

Graph-based PSG analysis and machine learning for sleep-stage ADHD biomarkers — reproducible reconstruction of an IEEE ISBI 2025 study.

Code and materials for Hainke et al. (2025), SLEEP.

SleepLM Sleep-Language Foundation Model — inference in Rust with Burn ML

Extracts information from polysomnography reports generated by Compumedics Profusion and Natus Embla RemLogic software, and then exports the data to an Excel file.

Config-driven, auditable preprocessing for PSG sleep-staging datasets — 22 profiles, deterministic pairing, QC, provenance, and privacy-aware outputs.