Epileptic Seizure Detection in Long Term Multichannel EEG Signal using Hybrid Method

Abstract

According to data from throughout the world, epileptic seizures are one of the most well- newlineknown and prevalent types of brain illnesses among those that may exist. These epileptic newlineepisodes can be recognized, nevertheless, utilizing a variety of signal processing newlinetechniques. A neurological condition known as epilepsy is characterized by frequent newlineseizures. The excessive, severe, and hyperactive neurological abnormalities shown by these convulsions are present within the brain. According to various statistics, 3-5% of the global population experience epileptic seizures at least once in their lifetime, and 1% of the population is now living with an epilepsy disorder. But thanks to improvements in newlinecomputer-aided technology, elliptic seizures and other brain abnormalities may now be newlineaccurately detected from Electroencephalogram (EEG) readings. In this work, EEG signals newlineare utilized to evaluate and analyze human brain activity. These signals are widely applied newlinein medical settings to diagnose brain disorders. newline newline