光谱学与光谱分析, 2018, 38 (5): 1599, 网络出版: 2018-06-01  

近红外无创血糖检测中基于差动式浮动基准测量的有效信号提取

Extraction of Effective Signal in Non-Invasive Blood Glucose Sensing with Near-Infrared Spectroscopy
作者单位
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
近红外光谱的相对测量对实现人体血糖浓度的在体高精度检测具有重要意义。 离体检测中常用的相似背景扣除以及双光路设计等方法不适合人体的复杂背景变化, 而基于位置的参考测量方法被认为是有希望实现在体参考测量的方法之一。 因此课题组提出差动式浮动基准参考测量方法来实现在体的相对测量。 差动式浮动基准参考测量方法是一种具有普适性的参考测量方法, 在实际应用中面临着径向检测距离的确定和差动检测信号中有效信号提取的问题。 在差动式浮动基准参考测量方法的基础上, 提出了基于NAS(net analyte signal)-VIP(variable importance in projection)-SPXY(sample set partitioning based on joint X-Y distances)-PLS(partial least square)的差动浮动基准测量方法, 在离体实验中验证了该方法的可行性。 结果表明经过该方法处理后, 模型的均方根误差明显降低, 相关系数也有了一定的提高。 对该方法在人体实验中的有效性进行了研究, 结果也表明该方法处理后所建模型的精密度和准确性有了明显改善。
Abstract
Relative measurement of near-infrared (NIR) spectroscopy is of great significance for the high precision detection of human blood glucose concentration in vivo. Although the similar background subtraction and double-beam design are frequently used in the in vitro experiments, they are not suitable for the human body detection because of the complex background variations. Reference measurement based on position is one of the most promising methods to realize in vivo reference measurement. The author proposes differential floating reference measurement method for in vivo reference measurement. The differential floating reference measurement is a universal method. However, it is difficult to determine the radial detection positions and extract the effective information from differential signals in practical use. To solve these problems, differential floating reference based on NAS (Net Analyte Signal)-VIP (Variable Importance in Projection)-SPXY (Sample set Partitioning based on joint X-Y distances)-PLS (Partial Least Square) method is proposed and the feasibility is investigated byin vitro and in vivo experiments, the results shows that the prediction accuracy and precision are improved through this method.

韩广, 刘蓉, 徐可欣. 近红外无创血糖检测中基于差动式浮动基准测量的有效信号提取[J]. 光谱学与光谱分析, 2018, 38(5): 1599. HAN Guang, LIU Rong, XU Ke-xin. Extraction of Effective Signal in Non-Invasive Blood Glucose Sensing with Near-Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2018, 38(5): 1599.

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