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提高中红外光谱法检测血糖精度的途径
引用本文:汪曣,李宁,徐可欣. 提高中红外光谱法检测血糖精度的途径[J]. 生物医学工程学杂志, 2006, 23(3): 688-691
作者姓名:汪曣  李宁  徐可欣
作者单位:1. 天津大学,精仪学院,生物医学工程系,天津,300072
2. 天津大学,精密测试技术及仪器国家重点实验室,天津,300072
摘    要:
中红外光谱法不使用任何试剂检测血糖浓度,但由于精度不够高,尚未应用于临床检测。本文从中红外光谱法测量血糖浓度的原理、技术出发。结合实验研究结果,从选取最佳研究波段、光谱处理方法、消除血液中其他成分干扰及改进系统硬件等四方面分析了当前中红外光谱法测血糖可以提高测量和预测精度的途径。针对四条途径,本文分别进行了以下实验:(1)严格确定在中红外区对葡萄糖浓度变化最灵敏的区域,(2)应用遗传算法筛选波长,(3)光谱正规化以提高仪器对样品测量的再现性,(4)使用高能量的CO2激光器作为光源,实验测量结果提高至接近或达到临床检测的可接受水平。

关 键 词:中红外  血糖  衰减全反射  偏最小二乘法  遗传算法
收稿时间:2004-02-12
修稿时间:2004-02-122004-05-25

Ways to Improve Measurement Accuracy of Blood Glucose Sensing by Mid-infrared Spectroscopy
Wang Yan,Li Ning,Xu Kexin. Ways to Improve Measurement Accuracy of Blood Glucose Sensing by Mid-infrared Spectroscopy[J]. Journal of biomedical engineering, 2006, 23(3): 688-691
Authors:Wang Yan  Li Ning  Xu Kexin
Affiliation:Department of Biomedical Engineering, College of Precision Instrument & Opto-electronics Engineering, Tianjin University, Tianjin 300072, China. wangyan@tju.edu.cn
Abstract:
Mid-infrared(MIR) spectroscopy is applicable to blood glucose sensing without using any reagent,however,due to a result of inadequate accuracy,till now this method has not been used in clinical detection.The principle and key technologies of blood glucose sensing by MIR spectroscopy are presented in this paper.Along with our experimental results,the paper analyzes ways to enhance measurement accuracy and prediction accuracy by the following four methods: selection of optimized spectral region;application of spectra data processing method;elimination of the interference with other components in the blood,and promotion in system hardware.According to these four improving methods,we designed four experiments,i.e.,strict determination of the region where glucose concentration changes most sensitively in MIR,application of genetic algorithm for wavelength selection,normalization of spectra for the purpose of enhancing measuring reproduction,and utilization of CO_2 laser as light source.The results show that the measurement accuracy of blood glucose concentration is enhanced almost to a clinical detection level.
Keywords:Min-infrared(MIR) Blood glucose Attenuated total reflection(ATR) Partial least squares(PLS) Genetic algorithms
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