Contactless Vital Signs Monitoring for Public Health Welfare

Laila Abbas, Soha Samy, Reem Ghazal, A. Eldeib, Sherif H. Elgohary
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Abstract

Vital signs such as Heart Rate (HR) and Respiratory Rate (RR) monitoring is crucial for public health. Vital signs measurement is the basic step for any health check. Thus, we need automated, contactless, remote, and easy-to-use tool for HR and RR measurement. Remote Photoplethysmography (rPPG) is the tool that measures HR and RR from the blood pulse signal effect on skin color changes. We proposed a measurement system that takes facial video for 28 seconds, with standard camera resolution and frame rate. Then HR and RR were obtained using fast signal processing algorithm. The system was tested on 75 volunteering subjects, using patient monitor as the gold standard for both HR and RR readings. The system resulted in measuring HR with Mean Absolute Error (MAE) less than 10 beats per minute (bpm) and RR with MAE less than 4 respirations per minute (rpm). Therefore, the system is applicable as it used short time videos, standard camera specs, quick processing algorithms, and no special processing acceleration devices.
面向公共卫生福利的非接触式生命体征监测
心率(HR)和呼吸频率(RR)监测等生命体征对公共卫生至关重要。生命体征测量是任何健康检查的基本步骤。因此,我们需要自动化的、非接触式的、远程的、易于使用的HR和RR测量工具。远程光容积脉搏图(rPPG)是一种测量血液脉搏信号对皮肤颜色变化影响的HR和RR的工具。我们提出了一个测量系统,在标准的相机分辨率和帧率下拍摄28秒的面部视频。然后利用快速信号处理算法得到HR和RR。该系统在75名志愿者身上进行了测试,使用患者监测器作为HR和RR读数的黄金标准。该系统测量心率的平均绝对误差(MAE)小于每分钟10次(bpm),心率的平均绝对误差(MAE)小于每分钟4次呼吸(rpm)。该系统视频时间短,摄像机规格标准,处理算法快,不需要特殊的处理加速装置,具有一定的适用性。
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