Development of Human Blood Glucose Noninvasive Measurement System Based on Near Infrared Spectral Technology
LI Qing-bo, LIU Jie-qiang, LI Xiang
Key Laboratory of Precision Opto-mechatronics Technology, Ministry of Education, School of Instrument Science and Opto-Electronics Engineering, Beihang University, Beijing 100191, China
Abstract：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.
Key words：Near infrared spectroscopy;Noninvasive measurement;Blood glucose concentration;Embedded system;Kernel-partial least squares
李庆波，刘杰强，李 响. 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[J]. 光谱学与光谱分析, 2012, 32(03): 642-646.
LI Qing-bo, LIU Jie-qiang, LI Xiang. Development of Human Blood Glucose Noninvasive Measurement System Based on Near Infrared Spectral Technology . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 32(03): 642-646.
[1] YANG Wen-ying, LU Ju-ming, WENG Jian-ping, et al(杨文英，陆菊明，翁建平，等). The New England Journal of Medicine(新英格兰医学杂志), 2010, 362(12): 1090. [2] YAN Yan-lu, ZHAO Long-lian, HAN Dong-hai, et al(严衍禄，赵龙莲，韩东海，等). The Foundation and Application of the Near Infrared Spectroscopy Analysis(近红外光谱分析基础与应用). Beijing: China Light Industry Press(北京：中国轻工业出版社), 2005. 488. [3] LU Wan-zhen(陆婉珍). Modern Near Infrared Spectroscopy Analytical Technology(Second Edition)(现代近红外光谱分析技术，第2版). Beijing: China Petrochemical Press(北京: 中国石化出版社), 2007. 1. [4] XU Ke-xin, GAO Feng, ZHAO Hui-juan(徐可欣，高 峰，赵会娟). Biomedical Photonics(生物医学光子学). Beijing: Science Press(北京：科学出版社), 2007. 153. [5] Kim Y J, Hahn S, Yoon G. Appl. Opt., 2003, 42(4): 745. [6] ZHANG Guang-jun, LI Li-na, LI Qing-bo, et al(张广军，李丽娜，李庆波，等). J. Infrared Millim. Waves(红外与毫米波学报), 2009, 28(2): 107. [7] LI Lina, ZHANG Guangjun, LI Qingbo. Mod. Phys. Lett. B，2009，23(7)：925. [8] LUO Yun-han, XU Ke-xin(罗云瀚，徐可欣). Acta Laser Biology Snica(激光生物学报), 2008, 17(1): 24. [9] LI Min-zan, HAN Dong-hai, WANG Xiu(李民赞，韩东海，王 秀). Spectral Analysis Technology and Application(光谱分析技术及其应用). Beijing: Science Press(北京：科学出版社), 2006. 40. [10] SUN Yan-kui(孙延奎). Wavelet Analysis and Application(小波分析及应用). Beijing: China Machine Press(北京：机械工业出版社), 2005. 233. [11] Rosipal R, Trejo L J. Mach J. Learn. Res.， 2001，2：97. [12] Rosipal R. Neural Network World，2003，13(3)： 291. [13] Kim Kyungpil, Lee Jong-Min, Lee In-Beum. Chemometr. Intell. Lab. Syst.，2005，79(1-2): 22. [14] Li Qing-bo, Li Li-na, Zhang Guang-jun. Infrared Physicsa & Technology, 2010，53: 410.
