The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
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Updated
May 19, 2023 - Python
The project is about applying CNNs to EEG data from CHB-MIT to predict seizure
Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
Empirical wavelet transform (EWT) in Python
solution for the American Epilepsy Society Seizure Prediction Challenge
This repository contains the trained deep learning models for the detection and prediction of Epileptic seizures.
EEG wearable device using CNN for seizure prediction
Predict seizures from EEGs using two models of spiking neural networks
Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project
1st place algorithm from Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge
Code and data of the paper "Interpretable EEG seizure prediction using a multiobjective evolutionary algorithm", published by Scientific Reports in 2022.
2nd place algorithm for Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge
Forecasting seizures with multiple models, including artificial neural networks
Kaggle - Melbourne University AES/MathWorks/NIH Seizure Prediction 2016 competition - predict seizures in long-term human intracranial EEG recordings
Epileptic EEG detection using the linear prediction error energy
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.
on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH
3rd place algorithm of the Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge
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