Abstract
In a conventional stress evaluation, the stress level is quantified by comparing information from a pulse wave before and after the work, but the method is not suitable to predict the stress level after a few seconds for accident prevention on the real-time monitoring. To estimate the tendency of increased stress and stress reduction with acceleration photoplethysmogram, we propose a time-resolved histogram pattern representing by a time-series change histogram, which is generated from the Euclidean norm for each points on the chaotic attractor varies with the autonomic functions. Figure 1 is presented to see difference between the result with and without stress load.
