Novel approach for classification of stress EEG data using statistical techniques

摘要

Many people undergo from the stress in their everyday life. Due to there close relationship between the stress, mental health and psychological aspect. Stress management using EEG data is very challenging task. In this paper, classification of EEG data is done by using statistical techniques like, mean, standard deviation, variance and correlation. This algorithm got the 0.0056 correlation which is positive association.