Publication

Abstract : Epilepsy is one among the most common brain disorders where research is still going on to find the best solution towards its treatment. The phenomenon of occurrence of recurrent seizures is known as epilepsy. This condition is unpredictable, and the patient can suffer at any moment of time. This may lead to permanent nervous system breakdown or death. Several researchers have focused on predicting seizure activity from electrocardiogram (ECG) signals and electroencephalogram (EEG). This paper focuses on the different methods and models used to predict seizure from EEG signals to lessen the burden on patients because of the unpredictable nature of seizures. Furthermore, it also gives insights about deep learning approaches used to predict epilepsy using the EEG signals.