Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/RCAR49640.2020.9303040 | 2020 IEEE International Conference on Real-time Computing and Robotics (RCAR) |
Keywords | DocType | ISBN |
video-based contactless blood pressure estimation,hypertension,HTN,cardiovascular disease,CVD,noninvasive BP monitoring system,conventional BP measurement methods,remote pulse detection technique,remote photoplethysmography,video-based BP estimation | Conference | 978-1-7281-7294-1 |
Citations | PageRank | References |
0 | 0.34 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| ye lu | 1 | 112 | 15.46 |
| Chaoqun Wang | 2 | 8 | 4.84 |
| Max Q.-H. Meng | 3 | 1477 | 202.72 |