AINeutralarXiv – CS AI · 5h ago6/10
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SleepExplain: Explainable Non-Rapid Eye Movement and Rapid Eye Movement Sleep Stage Classification from EEG Signal
Researchers have developed SleepExplain, a machine learning model that classifies sleep stages (NREM and REM) from EEG signals with 94.30% accuracy using XGBoost, while employing SHAP explainability techniques to make predictions interpretable. This advancement bridges clinical diagnostics and AI transparency, addressing a critical need in sleep disorder diagnosis where understanding model reasoning is as important as accuracy.