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Combined reflectance spectroscopy and stochastic modeling approach for noninvasive hemoglobin determination via palpebral conjunctiva

机译:结合反射光谱法和随机建模方法通过睑结膜测定无创血红蛋白

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AbstractA combination of stochastic photon propagation model in a multilayered human eyelid tissue and reflectance spectroscopy was used to study palpebral conjunctiva spectral reflectance for hemoglobin (Hgb) determination. The developed model is the first biologically relevant model of eyelid tissue, which was shown to provide very good approximation to the measured spectra. Tissue optical parameters were defined using previous histological and microscopy studies of a human eyelid. After calibration of the model parameters the responses of reflectance spectra to Hgb level and blood oxygenation variations were calculated. The stimulated reflectance spectra in adults with normal and low Hgb levels agreed well with experimental data for Hgb concentrations from 8.1 to 16.7 g/dL. The extracted Hgb levels were compared with in vitro Hgb measurements. The root mean square error of cross-validation was 1.64 g/dL. The method was shown to provide 86% sensitivity estimates for clinically diagnosed anemia cases. A combination of the model with spectroscopy measurements provides a new tool for noninvasive study of human conjunctiva to aid in diagnosing blood disorders such as anemia.
机译:摘要将多层人眼睑组织中的随机光子传播模型与反射光谱结合起来用于研究睑结​​膜的光谱反射率,以测定血红蛋白(Hgb)。所开发的模型是眼睑组织的第一个生物学相关模型,被证明可以很好地逼近所测光谱。使用先前对人眼睑的组织学和显微镜研究来定义组织光学参数。在校准模型参数之后,计算反射光谱对Hgb水平和血液氧合变化的响应。 Hgb水平正常和低的成年人的受激反射光谱与8.1至16.7 g / dL的Hgb浓度的实验数据吻合得很好。将提取的Hgb水平与体外Hgb测量值进行比较。交叉验证的均方根误差为1.64 g / dL。结果表明,该方法可为临床诊断的贫血病例提供86%的灵敏度估计。该模型与光谱测量的结合为人类结膜的非侵入性研究提供了一种新的工具,以帮助诊断血液疾病,例如贫血。

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