EEG mapping for arousal level quantification using dynamic quadratic entropy

Abstract

Developed countries are experiencing a dramatic increase in population ageing. Moreover, it is well known that elderly prefer stay at their homes over other options, increasing this way the medical expenditures. This also involves a major impact on the social and economic balance of the countries. Consequently, an important number of works have been carried out to improve the elderly quality of life and reduce the healthcare costs. However, few efforts have been made in monitoring the mental and emotional states of the ageing adults. This paper introduces a new approach based on the dynamic quadratic entropy for distinguishing different arousal levels. 278 one-minute-length EEG recordings from Dataset for Emotion Analysis using Physiological Signals are used in this study. The results show a decreasing brain complexity under excitement stimuli in central and parietal areas. These findings could be useful to train an emotional system for recognizing some basics emotions.