This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.

This repository contains basics of Signal processing techniques and a project on Epilepsy Detection in EEG signals.

A Python toolkit for the robust evaluation and analysis of seizure detection models.

Epilepsy Photo-Intensity Lens: An end-to-end browser tool for real-time quantitative analysis of video content to identify and evaluate photosensitive epilepsy risks.