Stress level measurements using heart rate variability analysis on android based application

Abstract

This paper present stress level measurements using heart rate variability (HRV) analysis on an android based application. Stress level usually measured using a subjective methodology to extract perception of stress. We use HRV to extract the real existence of stress via observing the stress impact to the autonomic nervous system (ANS). Ten subjects participated in this study. Linear and nonlinear analysis of HRV was performed. The results shows that subjects with higher stress level have higher HRV. We use the results to build a simple classifier model for classification resulting 70% accuracy using only linear analysis HRV parameter.