Although blood hemoglobin (Hgb) testing is a routine procedure in a variety of clinical situations, noninvasive, continuous, and real-time blood Hgb measurements are still challenging. Optical spectroscopy can offer noninvasive blood Hgb quantification, but requires bulky optical components that intrinsically limit the development of mobile health (mHealth) technologies. Here, we report spectral super-resolution (SSR) spectroscopy that virtually transforms the built-in camera (RGB sensor) of a smartphone into a hyperspectral imager for accurate and precise blood Hgb analyses. Statistical learning of SSR enables us to reconstruct detailed spectra from three color RGB data. Peripheral tissue imaging with a mobile application is further combined to compute exact blood Hgb content without a priori personalized calibration. Measurements over a wide range of blood Hgb values show reliable performance of SSR blood Hgb quantification. Given that SSR does not require additional hardware accessories, the mobility, simplicity, and affordability of conventional smartphones support the idea that SSR blood Hgb measurements can be used as an mHealth method.

中文翻译：

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具有光谱超分辨率的血液血红蛋白 mHealth 光谱

尽管血液血红蛋白 (Hgb) 检测是各种临床情况下的常规程序，但无创、连续和实时的血液 Hgb 测量仍然具有挑战性。光学光谱可以提供无创血液 Hgb 定量，但需要笨重的光学元件，这从本质上限制了移动医疗 (mHealth) 技术的发展。在这里，我们报告了光谱超分辨率 (SSR) 光谱，它实际上将智能手机的内置摄像头（RGB 传感器）转变为高光谱成像仪，以进行精确的血液 Hgb 分析。SSR 的统计学习使我们能够从三色 RGB 数据重建详细的光谱。外周组织成像与移动应用程序进一步结合，可以计算精确的血液 Hgb 含量，而无需事先进行个性化校准。对各种血液 Hgb 值的测量显示了 SSR 血液 Hgb 定量的可靠性能。鉴于 SSR 不需要额外的硬件配件，传统智能手机的移动性、简单性和经济性支持了 SSR 血 Hgb 测量可以用作移动医疗方法的想法。