mkfzdmr/Epileptic-EEG-Classfication-Using-Deep-Learning
This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.
This project offers pre-trained deep learning models to help identify and predict epileptic seizures from EEG recordings. By analyzing time-frequency images of brain activity, the models can determine whether an EEG segment indicates seizure activity or predicts an upcoming seizure. This is useful for researchers and clinicians who work with EEG data and want to develop automated systems for epilepsy detection and monitoring.
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Use this if you are a researcher or clinician working with EEG data and need to integrate pre-trained models for automated epileptic seizure detection and prediction into your own computational tools.
Not ideal if you are looking for a ready-to-use application with a graphical interface for direct clinical use or real-time patient monitoring without a developer's input.
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Aug 27, 2025
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