Advancing Sleep Stage Classification Using Machine Learning

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The presentation delves into sleep research, focusing on EEG signal analysis, challenges, and advancements. It outlines methods using Sleep-EDF datasets, discusses feature extraction and classification models, and evaluates their performance through metrics like F1-Score, Accuracy, and Recall. Insights into healthcare applications, scalability, and advanced data exploration are highlighted. Finally, it summarizes key findings, emphasizes AI's transformative role, and proposes future...