😴 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

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

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

Method for detecting sleep spindles using EEGlab functions and datasets

Competitive apnea detector for polysomnographic data

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

Detecting events in sleeping tinnitus patients

Wearanize+ is a research project in which multiple wearable devices were used to record participants' overnight sleep

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

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

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

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

Code and materials for Hainke et al. (2024)

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

Document and code that generates the Sleep Statistics defined at the Surrey Sleep Research Centre

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