Guazzi Alessandro R, Villarroel Mauricio, Jorge João, Daly Jonathan, Frise Matthew C, Robbins Peter A, Tarassenko Lionel
Insitute of Biomedical Engineering, University of Oxford, UK.
Department of Physiology Anatomy and Genetics, University of Oxford, UK.
Biomed Opt Express. 2015 Aug 11;6(9):3320-38. doi: 10.1364/BOE.6.003320. eCollection 2015 Sep 1.
A novel method (Sophia) is presented to track oxygen saturation changes in a controlled environment using an RGB camera placed approximately 1.5 m away from the subject. The method is evaluated on five healthy volunteers (Fitzpatrick skin phenotypes II, III, and IV) whose oxygen saturations were varied between 80% and 100% in a purpose-built chamber over 40 minutes each. The method carefully selects regions of interest (ROI) in the camera image by calculating signal-to-noise ratios for each ROI. This allows it to track changes in oxygen saturation accurately with respect to a conventional pulse oximeter (median coefficient of determination, 0.85).
提出了一种新方法(索菲亚),该方法使用一台距离受试者约1.5米的RGB相机,在可控环境中跟踪血氧饱和度变化。该方法在五名健康志愿者(菲茨帕特里克皮肤分型为II型、III型和IV型)身上进行了评估,他们在特制的舱室内,每人40分钟内血氧饱和度在80%至100%之间变化。该方法通过计算每个感兴趣区域(ROI)的信噪比,在相机图像中仔细选择感兴趣区域。这使得它能够相对于传统脉搏血氧仪准确跟踪血氧饱和度变化(中位数决定系数为0.85)。