A Study on Ontology Based Semantic Information Classification for Epileptic Seizure Using Optimal Fuzzy System

摘要

An Epileptic seizure is an unpredicted medical situation defined with an inter-connected motion of sensory organs, which occurred with an interval of time of existence. The recordings are mapped using Electroencephalogram (EEG) on a larger research. Various approaches have been proposed to diagnose and retrieve the causes and pre-occurrence scenarios for the last decade. In this paper, various approaches and defined terminologies to detect, predict, and analyze ES is discussed with an ideal solution of discussion using semantic information classification based ES detection using machine learning terminology.