Classification of Photoplethysmogram Based on Dynamics and its Application to Stress Estimation

Abstract

In this paper, an classification of photoplethysmograms (PPGs) based on their dynamics is discussed. Dynamical characteristics of the PPG change when a subject feels stress. The dynamics of the PPG are represented using Neo Fuzzy Neuron model which is a nonlinear type of AR model, and PPGs measured under relaxed/stressed situations are classified based on the model parameters of NFNs.