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The aim of this project is to design advanced algorithms for seizure detection and prediction based on EEG recordings from Temple University EEG Corpus dataset and CHB-MIT dataset. Deep learning framework and advanced feature extraction and classification algorithms will be developed. The performance will be evaluated on this public benchmark data and compared to state-of-the-art methods.
EE7207 Assignment 1
EE7207 Assignment 2
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