Robust blood pressure estimation using an RGB camera
- PDF / 1,265,497 Bytes
- 8 Pages / 595.276 x 790.866 pts Page_size
- 32 Downloads / 404 Views
ORIGINAL RESEARCH
Robust blood pressure estimation using an RGB camera Xijian Fan1 · Qiaolin Ye1 · Xubing Yang1 · Sruti Das Choudhury2 Received: 10 July 2018 / Accepted: 31 August 2018 © Springer-Verlag GmbH Germany, part of Springer Nature 2018
Abstract Blood pressure (BP) is one of important vital signs in diagnosing certain cardiovascular diseases such as hypertension. A few studies have shown that BP can be estimated by pulse transit time (PTT) derived by calculating the time difference between two photoplethysmography (PPG) measurements, which requires a set of body-worn sensors attached to the skin. Recently, remote photoplethysmography (rPPG) has been proposed as an alternative to contactless monitoring. In this paper, we propose a novel contactless framework to estimate BP based on PTT. We develop an algorithm to adaptively select reliable local rPPG pairs, which can remove the rPPG pairs having poor quality. To further improve the PTT estimation, an adaptive Gaussian model is developed to refine the shape of rPPG by analyzing the essential characteristics of rPPG. The adjusted PTT is computed from the refined rPPG signal to estimate BP. The proposed framework is validated using the video sequences captured by an RGB camera, with the ground truth BP measured using a BP monitor. Experiments on the videos collected in laboratory have shown that the proposed framework is capable of estimating BP, with a statistically compliance compared with BP monitor. Keywords Remote photoplethysmograpy · Dicrotic notch · Gaussian curve fitting · Blood pressure estimation
1 Introduction Blood pressure (BP) is an essential physiological parameter in the modern medicine. Standard BP monitoring apply the oscillometric technology (Drzewiecki et al. 1994), where the subjects need to wear sphygmomanometer device when measuring. Although it is easy to read and can provide accurate BP readings, it is incapable of obtaining continuous readings. Recently, many cuff-less BP measurements have been presented (Ma and Zhang 2005; Yoon et al. 2009), where pulse transit time (PTT), i.e., the time when a pulse * Xijian Fan [email protected] Qiaolin Ye [email protected] Xubing Yang [email protected] Sruti Das Choudhury [email protected] 1
Department of Computer Science, Nanjing Forestry University, Nanjing, China
Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, USA
2
signal passes between two different body parts, is detected for BP estimation. PTT can be estimated using either the time difference between electrocardiogram (ECG) and photoplethysmogram (PPG) (Gesche et al. 2012), or between two PPGs (Vanderpohl 2014). Most existing PTT based methods for BP measurement use contact sensor which is attached on the skin of people to obtain PPG or ECG. Some studies using the contactless way for pulse estimation have recently proposed (Patzak et al. 2015). These contactless techniques are based on the similar physiological principles as contact PPG (cPPG) termed remote photoplethysmogra
Data Loading...
