Poh Ming-Zher, McDuff Daniel J, Picard Rosalind W
Divison of Health Sciences and Technology, Harvard-MIT, Cambridge, MA 02139, USA.
Opt Express. 2010 May 10;18(10):10762-74. doi: 10.1364/OE.18.010762.
Remote measurements of the cardiac pulse can provide comfortable physiological assessment without electrodes. However, attempts so far are non-automated, susceptible to motion artifacts and typically expensive. In this paper, we introduce a new methodology that overcomes these problems. This novel approach can be applied to color video recordings of the human face and is based on automatic face tracking along with blind source separation of the color channels into independent components. Using Bland-Altman and correlation analysis, we compared the cardiac pulse rate extracted from videos recorded by a basic webcam to an FDA-approved finger blood volume pulse (BVP) sensor and achieved high accuracy and correlation even in the presence of movement artifacts. Furthermore, we applied this technique to perform heart rate measurements from three participants simultaneously. This is the first demonstration of a low-cost accurate video-based method for contact-free heart rate measurements that is automated, motion-tolerant and capable of performing concomitant measurements on more than one person at a time.
远程测量心脏脉搏无需电极即可提供舒适的生理评估。然而，迄今为止的尝试都是非自动化的，易受运动伪影影响，且通常成本高昂。在本文中，我们介绍了一种克服这些问题的新方法。这种新颖的方法可应用于人类面部的彩色视频记录，它基于自动面部跟踪以及将颜色通道盲源分离为独立成分。使用布兰德-奥特曼分析和相关性分析，我们将从基本网络摄像头录制的视频中提取的心率与美国食品药品监督管理局（FDA）批准的手指血容量脉搏（BVP）传感器进行了比较，即使在存在运动伪影的情况下也实现了高精度和高相关性。此外，我们应用该技术同时对三名参与者进行心率测量。这是首次展示一种低成本、基于视频的准确无接触心率测量方法，该方法自动化、耐运动且能够一次对多人进行同步测量。
