Non-contact Continuous Blood Pressure Measurement Based on Imaging Equipment

摘要

An optical and non-contact continuous measurement method to detect human blood pressure through a high-speed camerais discussed in this paper. With stable ambient light, photoplethysmographic (PPG) signals of face and palm area areobtained simultaneously from the video captured by high-speed camera, whose frame rate should be higher than 100 framesper second. Pulse transit time (PTT) is measured from the R-wave distance between the two PPG signals. The Partial leastsquaresregression( PLSR) model was established to train the samples, and the relationship between PTT and bloodpressure, including intra-arterial systolic pressure (SBP) and diastolic pressure (DBP), was established to obtain bloodpressure. Compared with the output of traditional sphygmomanometer, the blood pressure data collected from non-contactsystem has little error and meets the fitting conditions. We first proposed an accurate video-based method for non-contactblood pressure measurement using machine learning, and the average error of SBP is 0.148mmHg and of DBP is0.359mmHg.