EEG-Based Mental Task Classification in Hypnotized and Normal Subjects

Abstract

EEG-Based mental task classification is an approach to understand the processes in our brain which lead to our thoughts and behavior. Different mental tasks have been used for this purpose and we have chosen relaxation and imagination for our study. As well as normal conscious state, we have considered mental tasks performed in hypnosis which is defined as a state of consciousness with high concentration. To assess nonlinear dynamics, we have considered fractal dimension in addition to frequency features. HMM classifiers have been used for classification. Results show the most important features in EEG signal related to mentioned mental tasks as well as differences between normal and hypnotic states of the brain.