raphaelvallat/yasa_classifier
Notebooks for training the classifier of YASA sleep staging
This project provides the tools and instructions to train an AI model that automatically identifies different sleep stages from raw sleep study data (polysomnography, or PSG). It takes in large datasets of PSG recordings and outputs a trained classifier that can categorize sleep into stages like REM, NREM 1-3, and wakefulness. Sleep researchers, clinicians, and neuroscientists working with large sleep datasets would find this useful.
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Use this if you are a sleep researcher or clinician needing to automatically and consistently classify sleep stages from large volumes of raw polysomnography data.
Not ideal if you are looking for an off-the-shelf tool to analyze sleep data without needing to train or validate a custom classification model.
Stars
24
Forks
10
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Nov 20, 2021
Commits (30d)
0
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