Okes2024 / EEG-Signal-Classification-for-Stress-Level-DetectionView external linksLinks
This project simulates EEG signals and applies machine learning to classify stress levels. Using band power features and biomarkers like beta/alpha ratios, it distinguishes calm from stress states, providing a reproducible framework for mental health monitoring and cognitive load assessment.
☆53Sep 5, 2025Updated 5 months ago
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