Epileptic Seizure Detection System for NeuroHackathon 2024 engineered with Hubert Berlicki, Kyrylo Goroshenko and Lidia Podoluk

Thesis project: "On the clinical acceptance of EEG seizure prediction methodologies". Explainability of seizure prediction models.

American Epilepsy Society Seizure Prediction Challenge.

Computational Artificial Intelligence Projects (Seizure Detection) - Fall-2022

Epileptic EEG detection using the linear prediction error energy

kaggle competition: seizure prediction

Seizure prediction contains innovative methods using adaptive filtering for detecting epileptic seizures based on energy signals

Hidden Markov Models for Epilepsy Data

This project focuses on predicting epileptic seizures using EEG signals and ensemble learning techniques. It aims to provide accurate and timely predictions to help individuals with epilepsy manage their condition more effectively.

The codebase for a research project that uses common spatial patterns (CSP) filters to search for waveforms in epileptic Electrocorticographic (ECoG) signals that are discriminative of the preictal and interictal state.

on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH

The code for the paper "The goal of explaining black boxes in EEG seizure prediction is not to explain models’ decisions", published in Epilepsia Open (https://doi.org/10.1002/epi4.12748). It concerns explainability methods on Machine Learning for EEG seizure prediction.

based on kaggle's Melbourne University AES/MathWorks/NIH competition

In this research project we used a shift-invariant k-means algorithm to learn a preictal and interictal codebook of prototypical waveforms that can be used to summarize the occurrence of recurrent waveforms and to classify between preictal and interictal segments. We use the common spatial patterns (CSP) method to spatially filter the multichann…

Epilepsey and Insomnia Detection Using EEG signals

Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project

Code and data of the paper "A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction", published by Scientific Reports in 2021.

Code and data of the paper "Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm", published by Scientific Reports in 2022.

Real-time Forecasting Epileptic Seizure using EEG

This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.