EPILAB: A software package for studies on the prediction of epileptic seizures
2011 (English)In: Journal of Neuroscience Methods, ISSN 0165-0270, E-ISSN 1872-678X, Vol. 200, no 2, 257-271 p.Article in journal (Refereed) Published
A Matlab (R)-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. less thanbrgreater than less thanbrgreater thanSeizure 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. less thanbrgreater than less thanbrgreater thanEPILAB 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.
Place, publisher, year, edition, pages
Elsevier , 2011. Vol. 200, no 2, 257-271 p.
Epilepsy, Seizure prediction, EEG/ECG processing, Artificial neural networks, Support vector machines, Seizure prediction characteristic
Medical and Health Sciences
IdentifiersURN: urn:nbn:se:liu:diva-71383DOI: 10.1016/j.jneumeth.2011.07.002ISI: 000295242300018OAI: oai:DiVA.org:liu-71383DiVA: diva2:448053
|German Federal Government||German State Government||Baden-Wuerttemberg||2011-10-142011-10-142012-03-25