Machine Learning for Epileptic HFO Detection Using PARAFAC

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This certification-focused presentation outlines critical advancements in High-Frequency Oscillations (HFOs) detection linked to epilepsy. Leveraging deep learning and tensor decomposition techniques, it explores key topics such as HFO detection accuracy, preprocessing methods, and frequency comparisons. Presented with a research-driven approach, the methodology discusses signal processing and AI integration for improved detection reliability. Finally, the study’s conclusions propose...