Seizure Detection Using EEG

Abstract

Epilepsy effects nearly 1% of the world’s population and is characterized by spontaneous seizure occurrence. It can be prevented by the use of high doses of anticonvulsant medication, for many patients, but has side effects and for 20=40% of the patients the medications are not effective. Even though the occurrence of the seizures is not frequent, patients are always in anxiety due to the possibility of a seizure occurring. Our goal is to lead these patients with epilepsy live a normal life free of their anxiety by creating a device/system which can predict whether a patient is about to experience a seizure or not by monitoring their brain activity using EEG and Machine Learning Algorithms. This will also help limit the use of medication and decrease its side effects as the medication will be needed only when a seizure is about to occur.