Luo Jingjing, Zhen Junjie, Zhou Peng, Chen Wei, Guo Yuzhu
Institute of AI and Robotics, Academy for Engineering and Technology, Fudan University, Shanghai 200433, China.
Jihua Laboratory, Guangdong 528000, China.
Sensors (Basel). 2021 Jan 28;21(3):872. doi: 10.3390/s21030872.
Hemodynamic activities, as an essential measure of physiological and psychological characteristics, can be used for cardiovascular and cerebrovascular disease detection. Photoplethysmography imaging (iPPG) can be applied for such purposes with non-contact advances, however, most cardiovascular hemodynamics of iPPG systems are developed for laboratory research, which limits the application in pervasive healthcare. In this study, a video-based facial iPPG detecting equipment was devised to provide multi-dimensional spatiotemporal hemodynamic pulsations for applications with high portability and self-monitoring requirements. A series of algorithms have also been developed for physiological indices such as heart rate and breath rate extraction, facial region analysis, and visualization of hemodynamic pulsation distribution. Results showed that the new device can provide a reliable measurement of a rich range of cardiovascular hemodynamics. Combined with the advanced computing techniques, the new non-contact iPPG system provides a promising solution for user-friendly pervasive healthcare.
血流动力学活动作为生理和心理特征的一项重要指标，可用于心血管和脑血管疾病检测。光电容积脉搏波成像（iPPG）凭借非接触式优势可用于此类目的，然而，大多数iPPG系统的心血管血流动力学是为实验室研究开发的，这限制了其在普及型医疗保健中的应用。在本研究中，设计了一种基于视频的面部iPPG检测设备，以提供多维时空血流动力学脉动，用于具有高便携性和自我监测要求的应用。还开发了一系列算法，用于心率和呼吸率提取、面部区域分析以及血流动力学脉动分布可视化等生理指标。结果表明，该新设备能够可靠测量丰富的心血管血流动力学指标。结合先进的计算技术，这种新型非接触式iPPG系统为用户友好型普及型医疗保健提供了一个有前景的解决方案。
