Non-contact Video Based Estimation of Heart Rate Variability Spectrogram from Hemoglobin Composition

MUNENORI FUKUNISHI, KOUKI KURITA, SHOJI YAMAMOTO AND NORIMICHI TSUMURA

Artificial Life and Robotics 2017 (accepted)

Abstract
Non-contact HR measurement is getting active research area. Recently remote photoplethysmography (rPPG) measurement based on simple skin optics model has been proposed and it showed the effectiveness. In this paper, we propose an accurate remote observation of the heart rate (HR) and heart rate variability (HRV) based on hemoglobin component estimation which is based on detail skin optics model. We perform experiments to measure subjects at rest and under cognitive stress with the proposed method putting a polarized filter in front of camera to evaluate the principal of the framework. From the results of the experiments, the proposed method shows a high correlation with the electrocardiograph (ECG) which is assumed as the ground truth. We also evaluate the proposed method without putting any polarized filter and confirm the usefulness for the remote observation of HRV which require accurate detection of HR.

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