IEEE Trans Biomed Eng. 2013 Oct;60(10):2878-86. doi: 10.1109/TBME.2013.2266196. Epub 2013 Jun 4.
Remote photoplethysmography (rPPG) enables contactless monitoring of the blood volume pulse using a regular camera. Recent research focused on improved motion robustness, but the proposed blind source separation techniques (BSS) in RGB color space show limited success. We present an analysis of the motion problem, from which far superior chrominance-based methods emerge. For a population of 117 stationary subjects, we show our methods to perform in 92% good agreement ( ±1.96σ) with contact PPG, with RMSE and standard deviation both a factor of 2 better than BSS-based methods. In a fitness setting using a simple spectral peak detector, the obtained pulse-rate for modest motion (bike) improves from 79% to 98% correct, and for vigorous motion (stepping) from less than 11% to more than 48% correct. We expect the greatly improved robustness to considerably widen the application scope of the technology.
远程光体积描记术 (rPPG) 可使用普通摄像机实现对血容量脉搏的非接触式监测。最近的研究重点是提高运动鲁棒性,但在 RGB 颜色空间中提出的盲源分离技术 (BSS) 显示出有限的成功。我们对运动问题进行了分析,从中得出了基于色度的方法具有明显的优势。对于 117 名静止受试者的群体,我们的方法与接触式 PPG 相比,有 92%的结果(±1.96σ)非常吻合,其均方根误差和标准差均优于基于 BSS 的方法的两倍。在使用简单光谱峰值检测器的健身环境中,适度运动(骑自行车)的脉搏率从 79%提高到 98%正确,剧烈运动(踏步)的从不到 11%提高到 48%以上。我们预计大大提高的鲁棒性将大大拓宽该技术的应用范围。