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Measuring temperature-induced effective attenuation coefficient spectra of biological tissue based on diffuse reflection spectroscopy

机译:基于漫反射光谱法测量温度诱导的生物组织有效衰减系数谱

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In the non-invasive blood glucose measurement based on near-infrared spectroscopy, the glucose signal is very weak and easy to be disturbed. Tissue temperature fluctuation is a primary disturbance source, since it would greatly affect the accuracy of blood glucose concentration results. We present a method called differential diffuse reflection spectroscopy, which makes a differential processing on the data from multiple source-detector distances (SDDs), and it can directly estimate the change in effective attenuation coefficient (EAC) of tissue. Using EAC spectra, we investigated the influence of temperature on the tissue spectra and then used a multivariable analysis of external parameters orthogonalization (EPO) to calibrate the spectra. The spectra of 1000-1800 nm caused by temperature and glucose are compared. Theoretical computing, Monte Carlo simulations and experiments were used to test this method. In conclusion, this proposed method using EAC spectrum to monitor the tissue change shows a promising application potential in non-invasive blood glucose measurement.
机译:在基于近红外光谱的无创血糖测量中,葡萄糖信号非常弱并且容易被干扰。组织温度波动是主要的干扰源,因为它将大大影响血糖浓度结果的准确性。我们提出了一种称为差分漫反射光谱法的方法,该方法对来自多个源检测器距离(SDD)的数据进行差分处理,并且可以直接估计组织的有效衰减系数(EAC)的变化。使用EAC光谱,我们研究了温度对组织光谱的影响,然后使用外部参数正交化(EPO)的多变量分析来校准光谱。比较了温度和葡萄糖引起的1000-1800 nm光谱。理论计算,蒙特卡洛模拟和实验用于测试该方法。总之,这种使用EAC光谱监测组织变化的方法在无创血糖测量中显示出广阔的应用前景。

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