sleep-scoring

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

A toolbox for sleep data analysis and sleep stage classification. If you use SLEEPYLAND in your research, please cite:  Rossi, A.D., Metaldi, M., Bechny, M. et al. SLEEPYLAND: trust begins with fair evaluation of automatic sleep staging models. npj Digit. Med. 9, 55 (2026). https://doi.org/10.1038/s41746-025-02237-2

Automatically score rodent sleep using EEG and EMG recordings

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

Codes related to paper "Automated sleep stage classification of wide-field calcium imaging data via multiplex visibility graphs and deep learning"

DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model With Uncertainty Estimates

Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring

Desktop app for scoring mouse sleep from EEG, EMG, and norepinephrine recordings — visualize, auto-score with a neural network, correct by hand, and export sleep statistics.

Codes related to the paper "Attention-Based CNN-BiLSTM for Sleep States Classification of Spatiotemporal Wide-Field Calcium Imaging Data"

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

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

Software Open Source y multiplataforma para visualizar registros de polisomnografía, hacer el scoring de sueño y anotar eventos, con módulo de análisis de bioseñales. Laboratorio de Sueño y Memoria del ITBA. Actualmente en desarrollo.

Deep Network constituted of a CNN and a bi-directional LSTM for sleep stage scoring.

Clasificación de estadios de sueño usando EEG, EOG y EMG del dataset Sleep-EDF Expanded // Sleep stage classification using EEG, EOG, and EMG from the Sleep-EDF Expanded dataset