Abstract
Heart rate is an important data reflecting human vital characteristics and an important reference index to describe human physical and mental state. Currently, widely used heart rate measurement devices require direct contact with a person’s skin, which is not suitable for people with burns, delicate skin, newborns and the elderly. Therefore, the research of non-contact heart rate measurement method is of great significance. Based on the basic principle of Photoplethysmography, we use the camera of computer equipment to capture the face image, detect the face region accurately, and detect multiple faces in the image based on multi-target tracking algorithm. Then the region segmentation of the face image is carried out to further realize the signal acquisition of the region of interest. Finally, peak detection, Fourier analysis and wavelet analysis were used to detect the frequency of PPG and ECG signals. The experimental results show that the heart rate information can be quickly and accurately detected even in the case of monitoring multiple face targets.
Highlights
Contact heart rate tools, which require direct contact with the skin of the person being measured, are expensive, inefficient and unsuitable for certain situations, such as monitoring the heart rate of skin burn patients and infants in neonatal intensive care [1], and may increase the risk of COVID-19 transmission
Based on the basic principle of Photoplethysmography, we use the camera of computer equipment to capture the face image, detect the face region accurately, and detect multiple faces in the image based on multi-target tracking algorithm
The conversion between ECG signals and PPG signals is related in nature, and the left ventricular cardiac activity affects blood volume changes, which in turn are controlled by electrical signals from the sinoatrial node (SA)
Summary
Contact heart rate tools, which require direct contact with the skin of the person being measured, are expensive, inefficient and unsuitable for certain situations, such as monitoring the heart rate of skin burn patients and infants in neonatal intensive care [1], and may increase the risk of COVID-19 transmission. When the light irradiates the skin, it will be reflected and transmitted, and the hemoglobin concentration in the blood changes with the pulse. At this time, the changes of blood component concentration corresponding to the changes of light absorption amount are collected to form photoplethysmography (PPG) signal. The changes of blood component concentration corresponding to the changes of light absorption amount are collected to form photoplethysmography (PPG) signal To put it the essence of measuring heart rate with optics and optical sensors is the conversion between photoelectric signals [4]. This paper will introduce the test stages of the following three experiments: target detection task, image segmentation task and the acquisition and analysis of heart rate signal. The aim of the experiment is to detect the heart rate information of the subjects quickly and accurately under the condition of monitoring multiple face targets simultaneously
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