Epileptic Seizure Detection System for NeuroHackathon 2024 engineered with Hubert Berlicki, Kyrylo Goroshenko and Lidia Podoluk
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Nov 18, 2024 - Jupyter Notebook
Epileptic Seizure Detection System for NeuroHackathon 2024 engineered with Hubert Berlicki, Kyrylo Goroshenko and Lidia Podoluk
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.
Computational Artificial Intelligence Projects (Seizure Detection) - Fall-2022
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
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
Code and data of the paper "Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm", published by Scientific Reports in 2022.
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.
Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project
Forecasting seizures with multiple models, including artificial neural networks
Thesis project: "On the clinical acceptance of EEG seizure prediction methodologies". Explainability of seizure prediction models.
Code and data of the paper "A personalized and evolutionary algorithm for interpretable EEG epilepsy seizure prediction", published by Scientific Reports in 2021.
Epileptic EEG detection using the linear prediction error energy
Real-time Forecasting Epileptic Seizure using EEG
This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.
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.
American Epilepsy Society Seizure Prediction Challenge.
on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH
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