近红外无创血糖测量—位置浮动基准的光谱修正方法及仿体实验
[Abstract]:Non-invasive near-infrared spectroscopy (NIR) measurement of blood glucose is an international frontier subject that has not yet been applied in clinical practice. Background change in vivo is an important interference factor affecting NIR noninvasive blood glucose measurement. The reference method of position reference will be helpful to solve this problem. This paper focuses on the position floating datum, and studies the position floating datum from three aspects: simulation, theory and experiment. Based on the Monte Carlo simulation method, the existence characteristics of the position floating reference point of the three-layer skin model are studied, and the results verify the existence of the position floating reference point in the skin model. The relationship between the optical properties of skin tissue (absorption coefficient and scattering coefficient) and skin tissue structure (epidermis thickness and dermis thickness) and the position floating reference point are analyzed. The range of the position floating reference points varying with the skin tissue characteristics is obtained, and the simulation results provide the basis for the structural design of the optical detection probe. In this paper, the interference factors and their elimination methods in noninvasive blood glucose detection of human body are analyzed. The mathematical modeling methods and spectral data processing methods commonly used in NIR noninvasive blood glucose detection are introduced. The advantages and disadvantages of these methods are also analyzed. On this basis, the reference spectral correction method is derived theoretically, and the advantages of using this method to eliminate human background noise interference are analyzed. Based on the Monte Carlo simulation results, the optical fiber probe used in the position floating reference point experiment is designed, and the glucose concentration gradient experiment is completed based on the 5% Intralipid glucose solution. According to the experimental datum spectrum and measurement spectrum, this paper studies the correction method of datum spectrum. The results show that compared with the original model, the prediction error of the partial least square model is reduced by 35% on average. This method can improve the stability of calibration model and the precision of glucose prediction.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R318.51
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