lcsig/Sleep-Stages-Classification-by-EEG-Signals
MATLAB Project to Classify Different Sleep Stages of the EEG Signals using Machine Learning (Random Forest and Support Vector Machine)
This project helps sleep researchers and clinicians automatically identify different sleep stages from raw EEG signals. It takes whole-night polysomnographic (PSG) recordings as input and outputs classifications of sleep stages like Wake, REM, N1, N2, and N3. This is useful for anyone analyzing sleep patterns for diagnosis or research.
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Use this if you need a basic, script-based tool to process EEG data and classify sleep stages using established machine learning models in a MATLAB environment.
Not ideal if you require real-time analysis, highly optimized performance, or a robust, production-ready system with advanced sleep stage classification accuracy.
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MATLAB
License
MIT
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Last pushed
Jan 18, 2025
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