SeizureSeeker: A Novel Approach to Epileptic Seizure Detection Using Machine Learning

Abstract

Background: Epilepsy is a neurologic disease characterized by seizures which occur due to sudden and synchronized bursts of excessive electrical energy in the brain. An electroencephalogram, or EEG, can detect seizures in real time but requires trained medical expertise for extended periods of time. The main objective of this research was to devise a more efficient method (SeizureSeeker) for analyzing EEG data using machine learning algorithms that allows for complex data processing and can automatically distinguish between normal EEG signal and epileptic seizures.