[21p-S422-1~19] 3.4 Biomedical optics

[21p-S422-6] Analysis of heart rate variability based on images of plethysmogram obtained from human skin

Yuta Aoki¹, 〇Izumi Nishidate¹, Kazuya Nakano², Kyuichi Niizeki³, Yoshihisa Aizu⁴ (1.Tokyo Univ. Agri. Tech., 2.Tokyo Univ. Sci., 3.Yamagata Univ., 4.Muroran Inst. Tech.)

Keywords:Heart rate variability,Autonomic nervous system,Skin image

We investigated to a non-contact imaging method to extract plethysmogram from RGB images, using Monte Carlo simulation of light transport in skin tissue and multiple regression analysis. To confirm the feasibility of the method to evaluate autonomic nervous system, we performed the experiments with human skin before and during the Stroop color word task.