CISUC - EPILAB: A software package for studies on the prediction of epileptic seizures

EPILAB: A software package for studies on the prediction of epileptic seizures



A Matlab®-based software package, EPILAB, was developed for supporting researchers in performing
studies on the prediction of epileptic seizures. It provides an intuitive and convenient graphical user interface.
Fundamental concepts that are crucial for epileptic seizure prediction studies were implemented.
This includes, for example, the development and statistical validation of prediction methodologies in
long-term continuous recordings.
Seizure prediction is usually based on electroencephalography (EEG) and electrocardiography (ECG)
signals. EPILAB is able to process both EEG and ECG data stored in different formats. More than 35 time
and frequency domain measures (features) can be extracted based on univariate and multivariate data
analysis. These features can be post-processed and used for prediction purposes. The predictions may be
conducted based on optimized thresholds or by applying classifications methods such as artificial neural
networks, cellular neuronal networks, and support vector machines.
EPILAB proved to be an efficient tool for seizure prediction, and aims to be a way to communicate,
evaluate, and compare results and data among the seizure prediction community.


Epilepsy; Seizure prediction; EEG/ECG processing; Artificial neural networks; Support vector machines; Seizure prediction characteristic

Related Project

EPILEPSIAE- Evolving Platform for Improving Living Expectation of Patients


Journal of Neuroscience Methods, February 2011

Cited by

Year 2016 : 7 citations

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Year 2015 : 2 citations

 Seizure prediction for therapeutic devices: a review
K Gadhoumi, JM Lina, F Mormann, J Gotman - Journal of neuroscience …, 2015 - Elsevier
Abstract Research in seizure prediction has come a long way since its debut almost 4
decades ago. Early studies suffered methodological caveats leading to overoptimistic results
and lack of statistical significance. The publication of guidelines addressing mainly the ...

 Archiving and analysis of electroencephalograms in Ukrainian Grid: The first application
VO Gaidar, OO Sudakov - Intelligent Data Acquisition and …, 2015 -
Abstract—Distributed database and analysis tools for electroencephalography (EEG) data
archiving and procession in Ukrainian Grid Infrastructure were proposed, implemented and
applied for separation of signal sources. The database is being populated with human ...

Year 2014 : 7 citations

 Sriram Ramgopal, Sigride Thome-Souza, Michele Jackson, Navah Ester Kadish, Iván Sánchez Fernández, Jacquelyn Klehm, William Bosl, Claus Reinsberger, Steven Schachter, Tobias Loddenkemper, Seizure detection, seizure prediction, and closed-loop warning systems in epilepsy, Epilepsy & Behavior, Volume 37, August 2014, Pages 291-307

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Year 2013 : 3 citations

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Year 2012 : 3 citations

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