towards-personalized-neural-networks-for-epileptic-seizure-prediction
Supporting materials - paper - "Towards Personalized Neural Networks for Epileptic Seizure Prediction"
https://github.com/ricardomar/towards-personalized-neural-networks-for-epileptic-seizure-prediction
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Supporting materials - paper - "Towards Personalized Neural Networks for Epileptic Seizure Prediction"
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README.md
Towards Personalized Neural Networks for Epileptic Seizure Prediction
Objectives:
- To develop a software tool that automatically classifies EEG (Electroencephalogram) data in one of four classes: inter-ictal (normal EEG pattern); pre-ictal (two minutes prior to the seizure onset); ictal (the seizure onset); pos-ictal (two minutes subsequent to seizure end). A typical epileptic seizure event is characterized by a cycle of those four stages.
- This code serves as a supplement to the conference paper Towards Personalized Neural Networks for Epileptic Seizure Prediction.
Outputs:
The data used in this investigation has been collected from the epilepsy database of Freiburg Center for Data Analysis and Modeling (FDM) of Albert Ludwigs University of Freiburg - EPILEPSIAE: Evolving Platform for Improving Living Expectations of Patients Suffering from IctAl Events, an FP7 ICT eHealth project.
During an extensive experimentation, different neural network architectures have been applied to the datasets and compared. The best architectures of the neural networks have been selected and integrated in a MATLAB tool. The tool allows the users to select the EEG dataset, the neural network architecture and test the epileptic seizure events recognition performance.
The source code and documentation of the application is available here.
Software tool developed in collaboration with Joao Duarte during the Adaptive Computing and Diffuse Systems course.
This work has been used in the publication - Antonio Dourado, Ricardo Martins, Joao Duarte, Bruno Direito - Towards Personalized Neural Networks for Epileptic Seizure Prediction, in Proc. of the ICANN 2008, pp. 479-487, Vol. 5164, Lecture Notes on Computer Science, International Conference on Neural Networks ICANN 2008, Prague, Czek Republic, September 2008
This work has been used in the publication - Bruno Direito, Ricardo Martins, Rui Costa, Antonio Dourado, Francisco Sales, Marco Vieira - Computational Intelligence Algorithms for Seizure Prediction in Proc. of the 8th European Congress on Epileptology, 8th European Congress on Epileptology, Berlin, September 2008
Owner
- Name: Ricardo Martins
- Login: ricardomar
- Kind: user
- Location: Coimbra, Portugal
- Company: @CIBIT-UC
- Website: https://rmartins.net/
- Twitter: rfam
- Repositories: 1
- Profile: https://github.com/ricardomar
Postdoctoral researcher at @CIBIT-UC. Biomedical Engineering. Cognitive neuroscience. Neuroimaging. Data analysis. Computational Modeling.
Citation (citation.cff)
cff-version: 1.1.0
message: "If you use the materials from this repository, please cite it as below."
authors:
- family-names: Martins
given-names: Ricardo
orcid: https://orcid.org/0000-0001-7184-185X
title: "Towards Personalized Neural Networks for Epileptic Seizure Prediction - code and data"
version: 1.0
doi: 10.5281/zenodo.4570620
date-released: 2018-04-15
url: "https://github.com/rmartins-net/Towards-Personalized-Neural-Networks-for-Epileptic-Seizure-Prediction"