irfankhaan/Epileptic-Seizure-Detection-using-EEG-Signals

This repository contains codes for the detection of epileptic seizures using machine learning classifiers on the TUH EEG dataset

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Experimental

This project helps medical researchers and neurologists analyze raw EEG (electroencephalogram) signals to detect epileptic seizures. It takes recorded EEG data as input and provides an assessment of whether a seizure is present, along with the performance metrics of various machine learning models used for this detection. Researchers and clinicians studying epilepsy or developing diagnostic tools would find this useful.

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Use this if you need to automatically identify epileptic seizures from EEG signal data with established machine learning models.

Not ideal if you require real-time, high-stakes clinical diagnostic support without further validation or integration into a certified medical device.

neurology epilepsy-research EEG-analysis medical-diagnostics biomedical-signal-processing
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Apr 26, 2022

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