Shao Dangdang, Liu Chenbin, Tsow Francis, Yang Yuting, Du Zijian, Iriya Rafael, Yu Hui, Tao Nongjian
IEEE Trans Biomed Eng. 2016 Jun;63(6):1091-8. doi: 10.1109/TBME.2015.2481896. Epub 2015 Sep 24.
We present a noncontact method to monitor blood oxygen saturation (SpO2). The method uses a CMOS camera with a trigger control to allow recording of photoplethysmography (PPG) signals alternatively at two particular wavelengths, and determines the SpO2 from the measured ratios of the pulsatile to the nonpulsatile components of the PPG signals at these wavelengths. The signal-to-noise ratio (SNR) of the SpO2 value depends on the choice of the wavelengths. We found that the combination of orange (λ = 611 nm) and near infrared (λ = 880 nm) provides the best SNR for the noncontact video-based detection method. This combination is different from that used in traditional contact-based SpO 2 measurement since the PPG signal strengths and camera quantum efficiencies at these wavelengths are more amenable to SpO2 measurement using a noncontact method. We also conducted a small pilot study to validate the noncontact method over an SpO2 range of 83%-98%. This study results are consistent with those measured using a reference contact SpO2 device ( r = 0.936, ). The presented method is particularly suitable for tracking one's health and wellness at home under free-living conditions, and for those who cannot use traditional contact-based PPG devices.
我们提出了一种监测血氧饱和度(SpO2)的非接触式方法。该方法使用具有触发控制功能的CMOS相机,以便交替记录两个特定波长下的光电容积脉搏波描记法(PPG)信号,并根据在这些波长下测量的PPG信号搏动成分与非搏动成分的比率来确定SpO2。SpO2值的信噪比(SNR)取决于波长的选择。我们发现,橙色(λ = 611 nm)和近红外(λ = 880 nm)的组合为基于视频的非接触式检测方法提供了最佳的SNR。这种组合与传统的基于接触式的SpO2测量中使用的组合不同,因为在这些波长下的PPG信号强度和相机量子效率更适合使用非接触式方法进行SpO2测量。我们还进行了一项小型初步研究,以在83% - 98%的SpO2范围内验证该非接触式方法。这项研究结果与使用参考接触式SpO2设备测量的结果一致(r = 0.936)。所提出的方法特别适用于在自由生活条件下在家中跟踪个人健康状况,以及适用于那些无法使用传统基于接触式的PPG设备的人群。