Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and PredictionLarbi Boubchir149-150
EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithmsItaf Ben Slimen，Larbi Boubchir，Zouhair Mbarki，Hassene Seddik151-161
Epileptic seizure prediction based on EEG spikes detection of ictal-preictal statesItaf Ben Slimen，Larbi Boubchir，Hassene Seddik162-169
Hidden Markov model based epileptic seizure detection using tunable Q wavelet transformDeba Prasad Dash，Maheshkumar H Kolekar170-179
Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMDLuis Alfredo Moctezuma，Marta Molinas180-190
An optimized design of seizure detection system using joint feature extraction of multichannel EEG signalsDattaprasad Torse，Veena Desai，Rajashri Khanai191-204
A quadratic linear-parabolic model-based EEG classification to detect epileptic seizuresAntonio Quintero-Rincón，Carlos D'Giano，Hadj Batatia205-212
Complexity analysis and dynamic characteristics of EEG using MODWT based entropies for identification of seizure onsetShivarudhrappa Raghu，Natarajan Sriraam，Yasin Temel，Shyam Vasudeva Rao，Alangar Sathyaranjan Hegde，Pieter L Kubben213-227
Epileptic seizure detection using EEG signals and extreme gradient boostingPaul Vanabelle，Pierre De Handschutter，Ri(e)m El Tahry，Mohammed Benjelloun，Mohamed Boukhebouze228-239
Deep learning approach to detect seizure using reconstructed phase space imagesN.Ilakiyaselvan，A.Nayeemulla Khan，A.Shahina240-250
