wjq-learning/CareSleepNet
[JBHI 2024] CareSleepNet: A Hybrid Deep Learning Network for Automatic Sleep Staging
This tool helps automate the process of sleep staging from raw physiological signals. You input overnight polysomnography (PSG) data, and it outputs an automatic classification of sleep stages (Wake, N1, N2, N3, REM). This is intended for sleep researchers, clinicians, or technicians who analyze sleep patterns.
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Use this if you need an automated, objective, and consistent method to classify sleep stages from PSG data for research or clinical assessment.
Not ideal if you need to manually review or fine-tune sleep stage classifications based on expert human interpretation, or if you are working with non-PSG sleep data.
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15
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3
Language
Python
License
MIT
Category
Last pushed
Jun 06, 2025
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