CISUC - On the proper selection of preictal period for seizure prediction
CISUC

On the proper selection of preictal period for seizure prediction

Authors



Related Project

EPILEPSIAE- Evolving Platform for Improving Living Expectation of Patients

Journal

Epilepsy & Behavior, January 2015

Cited by

Year 2016 : 3 citations

 Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I.S., Pearl, P.L. and Loddenkemper, T., 2016. Automated seizure detection systems and their effectiveness for each type of seizure. Seizure, 40, pp.88-101.

 Shiao, H.T., Cherkassky, V., Lee, J., Veber, B., Patterson, N., Brinkmann, B. and Worrell, G., 2016. SVM-Based System for Prediction of Epileptic Seizures from iEEG Signal. IEEE Transactions on Biomedical Engineering.

 Mula, M., 2016. New trends and hot topics in epileptology: An analysis of top articles published in Epilepsy & Behavior in 2015. Epilepsy & behavior: E&B, 63, p.125.