为了解决糖尿病人血糖检测的有创问题, 以生物特征检测技术为基础, 设计了一种近红外透射光谱法的多信息融合无创血糖检测系统, 并测试了系统性能。通过建立数学模型对该系统实测的数据进行处理, 得到人体的血糖值。试验结果表明, 本系统与传统血糖仪检测结果的相关系数达到了0.854 2。同时该系统可以对人体血糖变化趋势进行记录, 为连续监测血糖值提供了新方法。

In order to solve the problem of invasive detection of diabetes’ blood sugar, we design a multi-information fusion and non-invasive detection system of blood glucose based on the characteristics of biological detection technology and the principle of infrared spectroscopy with other human characteristic information, and test the performance of the system parameters.By establishing a mathematical model for the system to process the measured data, we can get blood sugar.According to the experiment, the correlation coefficient of its result with traditional invasive glucose meter has reached 0.854 2.At the same time, the system can record the trend of blood sugar, provides a new method for the study of continuous monitoring of blood sugar concentration.