Methodology for NeuroSky Based System to Detect Objective Pain in Human Body

Abstract

The goal of this dissertation is to develop methods that are capable of classifying different categories of electroencephalography (EEG) signal to help in the evaluation and treatment of neurological diseases to detect pain level in the human body. In order to have a broad understanding of classification, this chapter mainly provides an overview of classification including its concept, structure and commonly used methods of EEG signal classification.