Video-based Contactless Blood Pressure Estimation: A Review

Lu，Ye1; Wang，Chaoqun1; Meng，Max Q.H.1,2

10.1109/RCAR49640.2020.9303040

2020-09-28

IEEE International Conference on Real-time Computing and Robotics (IEEE-RCAR)

978-1-7281-7294-1

2020 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2020

62-67

SEP 28-29, 2020

null,null,ELECTR NETWORK

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

Hypertension (HTN) is viewed as a significant but modifiable element to Cardiovascular disease (CVD). A non-invasive BP monitoring system continuously is beneficial to early detection and prevention of CVD, considering the inconvenience and discomfort of the conventional BP measurement methods. Recently, as the remote pulse detection technique develops, remote photoplethysmography (rPPG), measuring BP based on videos without contact becomes possible. It has been developed in the past few years. The aim of this review is to introduce a general framework of video-based BP estimation, analyze the related algorithms and summarize the existing studies. Moreover, we introduce the possible future directions in this field.

Skin Estimation Feature extraction Videos Lighting Electrocardiography Cameras

其他

英语

CPCI-S ; EI

Automation & Control Systems ; Computer Science ; Engineering ; Robotics

Automation & Control Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Robotics

WOS:000676374700011

20210309790154

Agricultural robots ; Robotics

Biology:461.9 ; Robotics:731.5

2-s2.0-85099362655

Scopus

1.Chinese University of Hong Kong,Department of Electronic Engineering,Hong Kong
2.Southern University of Science and Technology,Department of Electronic and Electrical Engineering,Shenzhen,China

Lu，Ye,Wang，Chaoqun,Meng，Max Q.H.. Video-based Contactless Blood Pressure Estimation: A Review[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2020:62-67.