Design of non-invasive blood glucose detecting system based on near-infrared

CHEN Zhen-cheng; ZHANG Yang; XU Bei-ping; ZHU Jian-ming

doi:10.13873/J.1000-9787(2016)05-0103-04

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Design of non-invasive blood glucose detecting system based on near-infrared

更新时间：2025-09-11

- Design of non-invasive blood glucose detecting system based on near-infrared
- Vol. 35, Issue 5, Pages: 103-106(2016)
- 作者机构：
  
  1. 桂林电子科技大学生命与环境科学学院
  2. 桂林电子科技大学电子工程与自动化学院
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)05-0103-04
  CLC： TP274
- Published：2016
- 稿件说明：
移动端阅览
[1]陈真诚,张杨,徐北平,朱健铭.近红外无创血糖检测系统设计[J].传感器与微系统,2016,35(05):103-106.

CHEN Zhen-cheng, ZHANG Yang, XU Bei-ping, et al. Design of non-invasive blood glucose detecting system based on near-infrared[J]. 2016, 35(5): 103-106.
[1]陈真诚,张杨,徐北平,朱健铭.近红外无创血糖检测系统设计[J].传感器与微系统,2016,35(05):103-106. DOI： 10.13873/J.1000-9787(2016)05-0103-04.

CHEN Zhen-cheng, ZHANG Yang, XU Bei-ping, et al. Design of non-invasive blood glucose detecting system based on near-infrared[J]. 2016, 35(5): 103-106. DOI： 10.13873/J.1000-9787(2016)05-0103-04.

摘要

根据近红外无创血糖检测技术

设计一种小型近红外无创血糖检测系统。以系统检测探头对人体食指采取透射方式探测

由光电传感器采集四路不同波长近红外光的脉搏波信号。提出一种脉搏波预处理方法

采用经验模态分解和三次样条插值算法去除原始脉搏波的高频噪声和基线漂移。运用动态光谱频域提取法提取对数脉搏波的基波分量。采用偏最小二乘法交叉验证的方法

预测人体血糖浓度。对实验结果进行分析

此系统预测血糖值与真实血糖值的相关性达到了86.5%

预测均方根误差为0.56 mmol/L

证明系统检测结果精度较高。

Abstract

According to near-infrared non-invasive blood glucose detection technology

miniature near-infrared non-invasive blood glucose detection system is designed. Use system detection probe to detect index finger adopting mode of transmission

collect pulse wave signal of four paths different wavelengths near-infrared light by photoelectric sensor. A pulse wave preprocessing method is proposed

which uses empirical mode decomposition and three times spline interpolation method to delete high frequency noise and baseline drift. Fundamental component of logarithmic pulse wave is extracted by dynamic spectrum frequency domain method. Adopt cross validation method based on partial least square to predict human blood glucose. Analysis on experimental results

correlation of system predicted and real blood glucose reach 86. 5 %

predicted RMSEP is 0. 56 mmol / L

precision of system is verified to be high.

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references

基于偏最小二乘法的近红外光谱分析应用 [J]. 李朋成,朱军桃,马云栋,吴晓. 测绘地理信息 . 2015(02)

近红外离散波长光谱基线漂移校正方法研究 [J]. 胡爱琴,袁洪福,宋春风,李效玉. 光谱学与光谱分析 . 2014(10)

EMD算法在动态光谱无创测量血红蛋白浓度中的应用 [J]. 林凌,李威,周梅,曾锐利,李刚,张宝菊. 光谱学与光谱分析 . 2014(08)

基于偏最小二乘法的板栗近红外光谱分析模型的建立 [J]. 傅谊,张拥军,陈华才,蒋家新,刘建风. 食品科技 . 2012(05)

近红外动脉血液检测中压力对脉搏波的影响 [J]. 王焱,杨威,许轶. 传感器与微系统 . 2010(11)

基于无创血糖检测的传感器集成设计 [J]. 王弟亚,陈真诚,朱健铭,金星亮. 传感器与微系统 . 2009(12)

Non-invasive glucose measuring apparatus based on conservation of energy method [J]. 陈真诚,金星亮,朱健铭,王弟亚,张婷婷. Journal of Central South University of Technology . 2009(06)

基于经验模态分解的脉搏信号去噪 [J]. 行鸿彦,许瑞庆. 计算机应用与软件 . 2009(08)

近红外无创血糖浓度检测技术的初步研究 [D]. 陈玲玲. 黑龙江大学 2010

Non-invasive glucose monitoring technology in diabetes management: A review [J] . Sandeep Kumar Vashist. Analytica Chimica Acta . 2012

Infrared spectroscopic analysis of human interstitial fluid in vitro and in vivo using FT-IR spectroscopy and pulsed quantum cascade lasers （QCL）: Establishing a new approach to non invasive glucose measurement [J] . Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy . 2011 (1)

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