Использование сетевого подхода при анализе психофизиологических наблюдений

Abstract

This article presents a new network platform to analysis time-series. The network platform provides an in-depth analysis of the dynamics of the psycho-physiological reactions of an individual in response to stimuli by converting pertinent physiological parameters of respiratory, motor, cardiovascular system, electrical activity of the skin into network fingerprints, as well as the non-verbal component of the behavior of the individual during the pre-test conversation. At the same time, an analysis is proposed both separately for each component, and in a comprehensive manner and in interrelations.