The 11th Iranian and the first International Conference on Machine Vision and Image Processing

Using Imaging Photoplethysmography(iPPG) Signal for Blood PressureEstimation

Reza Heydari Goudarzi, Seyedeh Somayyeh Mousavi, Mostafa Charmi
The 11th Iranian and the first International Conference on Machine Vision and Image Processing (MVIP 2020)

Abstract

Blood Pressure (BP) is one of the most important vital signs of the human body, which its value provides valuable physiological information about cardiac function for physicians. In recent years, many types of research have been done in the field of BP estimation using Photoplethysmography (PPG) signal. On the other hand, the results of the studies on Heart Rate (HR) and Respiration Rate (RR) calculations have been reported using the imaging Photoplethysmography (iPPG) signal. The iPPG signal is a kind of PPG signal that is recorded in a non-contact method using a camera. This paper is among the first studies to provide a new algorithm for estimating BP values using the only iPPG signal and with a non-contact method. The validity of the proposed algorithm was evaluated in a gathered database with 40 people. The algorithm in estimation of the Diastolic Blood Pressure (DBP) was able to achieve mean error of -0.2 and standard deviation of 6.41 mmHg and in estimation of the Systolic Blood Pressure (SBP) was able to achieve mean error of 0.45 and standard deviation of 12.39 mmHg.

Keywords: Blood Pressure, Photoplethysmography (PPG), Image Photoplethysmography (iPPG), Non-contact, Camera, Wholebased



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