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Epileptic Seizure Prediction: A Review

Epilepsy is one of the most familiar form of neurological diseases in the globe. Epilepsy is a central nervous system ie neuro logical disorder in which brain activity shows some unusual behavior triggering seizures , sensations and occasionally consciousness loss. Seizures in epilepsy are caused by some disorders in the brain electrical activity. The epilepsy seizure (ES) can be correlated to a brain damage or a family tendency, then most of the time period the reason is unpredictable. Many treatments and therapies are also available to support the epileptic patients to become as seizure-free, with the help of medication, anti-seizure devices and surgery. There are several modalities available to find out epileptic seizure such as EEG, MRI, CT, PET and also SPECT. Initial prediction and notice of seizures can deliver appropriate treatment and aid for patients and also improves the excellence of life. In this paper, a complete analysis of ES prediction by using different methods of machine learning techniques will be reviewed.