基于近红外光谱技术的人体血糖浓度无创检测系统的研制  

Development of Human Blood Glucose Noninvasive Measurement System Based on Near Infrared Spectral Technology

作　　者：李庆波[1] 刘杰强[1] 李响[1] 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,精密光机电一体化技术教育部重点实验室,北京100191

出　　处：《光谱学与光谱分析》2012年第3期642-646,共5页Spectroscopy and Spectral Analysis

基　　金：“长江学者和创新团队发展计划”项目(IRT0705);北京航空航天大学蓝天新星项目资助

摘　　要：开发了一种小型化人体血糖浓度无创检测系统,该系统可实现人体血糖浓度的快速、实时、无创检测,主要由嵌入式系统、夹具、光源系统和微型光栅光谱仪四部分组成。提出了一种光源稳压驱动电路方案,可满足多种光谱采集条件对光源的要求。同时提出了一种一体化夹具设计方案,不仅简化了系统的光学结构,而且提高了测量条件的可重复性。分别用小波去噪和核偏最小二乘法对采集的光谱数据进行预处理和数学建模,并对系统进行性能评价,血糖浓度预测值与标准值的相关系数为0.95,预测均方根误差为0.6mmol.L-1,系统的重复性较好。A small non-invasive measurement system for human blood glucose has been developed,which can achieve fast,real-time and non-invasive measurement of human blood glucose.The device is mainly composed of four parts,i.e.fixture,light system,data acquisition and processing systems,and spectrometer.A new scheme of light source driving was proposed,which can meet the requirements of light source under a variety of conditions of spectral acquisition.An integrated fixture design was proposed,which not only simplifies the optical structure of the system,but also improves the reproducibility of measurement conditions.The micro control system mainly achieves control function,dealing with data,data storage and so on.As the most important component,microprocessor DSP TMS320F2812 has many advantages,such as low power,high processing speed,high computing ability and so on.Wavelet denoising is used to pretreat the spectral data,which can decrease the loss of incident light and improve the signal-to-noise ratio.Kernel partial least squares method was adopted to build the mathematical model,which can improve the precision of the system.In the calibration experiment of the system,the standard values were measured by OneTouch.The correlation coefficient between standard blood glucose values and truth values is 0.95.The root mean square error of measurement is 0.6 mmol·L-1.The system has good reproducibility.

关 键 词：近红外光谱 无创检测 血糖浓度 嵌入式系统 核偏最小二乘法 

分 类 号：TH789[机械工程—仪器科学与技术]