… approach to predict the epileptic seizures. By the … for seizure prediction in all patients. These
results demonstrated that the proposed algorithm could provide an robust seizure prediction …

… system can generate alarm before epileptic seizures to provide patients and their … seizure
prediction system based on deep learning in order to anticipate the onset of the seizure as …

… activity in the epilepsy brain may be of great significance to investigating the pathological
mechanism of seizure, seizure detection, seizure prediction and epileptogenic foci localization. …

… models on the selected features, and transfer and transformation learn on these features. …
signal the seizure. In Sect. 3 we present and discuss the results for seizure prediction, and …

… This work attempts to develop a seizure prediction model … adaptation (DA) methods for
seizure prediction. It is a machine … hope to develop a generic seizure prediction model based on …

… changes effect on unexpected seizures prediction, as this will … seizure change significantly
so seizure can be predicted in … by using directed transfer function and Granger causality …

… However, we are still far from practical seizure prediction systems using scalp EEG. For a
practical on-line seizure prediction system, the following points should be further investigated …

… transfer-learning-based models for an early and accurate patient-dependent seizure prediction…
-performed models were trained and tested for patient-independent seizure prediction. In …

… Therefore, an area of important research is defining the actual seizure onset time, as the
so-called seizure prediction horizon will directly depend on when the seizure actually started. …

… Early prediction of the incoming seizures has a great influence on epileptic patients’ life. In
this paper, a novel patient-specific seizure prediction technique based on deep learning and …