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
