PREPROCESSING OF EEG SIGNALS FOR ESTIMATING STATE OF MIND

Abstract

In biomedical Engineering it is been seen that the human brain waves are studied for finding out the current situation of brain. The brain activity is used to estimate whether the subject is in pleasure or stress. The aim of this study is to analyze brain activity. Brainwaves is divided into 5 sub frequency bands namely alpha, beta, gamma, theta and delta. To estimate the status of brain the dataset used here is Neuro Marketing where 25 subjects are used. This dataset is used to even find the EEG rhythms in association with normal active or patient is Anesthetized. The similar attempt has been done here to estimate the brain activity on the basis of power spectrum analysis. For this, the modified approach involving both Independent Component Analysis (ICA) and Principal Component Analysis (PCA) methodologies has been used in this report to investigate the behavior of brains electrical activity for a simple case of visual attention. The proposed method of EEG classification can be very useful in predicting the action or the intention of brain performed on the basis of EEG which leads to more development in brain computer interface.