Seizure prediction from EEG data using machine learning. 3rd place solution for Kaggle/Uni Melbourne seizure prediction competition.
Epilepsy Prediction with CNN-BiLSTM | BSc dissertation project
1st place algorithm from Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge
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
3rd place algorithm of the Melbourne-University AES-MathWorks-NIH Seizure Prediction Challenge
on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH
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.
Seizure prediction contains innovative methods using adaptive filtering for detecting epileptic seizures based on energy signals
Add a description, image, and links to the seizure-prediction topic page so that developers can more easily learn about it.
To associate your repository with the seizure-prediction topic, visit your repo's landing page and select "manage topics."