Near-infrared spectroscopic measurements of blood analytes using multi-layer perceptron neural networks

被引：0

作者：

Kalamatianos, Dimitrios ^{[1
]}

Liatsis, Panos ^{[2
]}

Wellstead, Peter E. ^{[1
]}

机构：

[1] Natl Univ Ireland, Hamilton Inst, Maynooth, Kildare, Ireland

[2] City Univ London, Sch Engn & Math Sci, London EC1V 0HB, England

来源：

2006 28TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-15 | 2006年

关键词：

near-infrared spectroscopy; interferometer; neural networks; urea; creatinine; glucose; oxyhemoglobin;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Near-infrared (NIR) spectroscopy is being applied to the solution of problems in many areas of biomedical and pharmaceutical research. In this paper we investigate the use of NIR spectroscopy as an analytical tool to quantify concentrations of urea, creatinine, glucose and oxyhemoglobin (HbO(2)). Measurements have been made in vitro with a portable spectrometer developed in our labs that consists of a two beam interferometer operating in the range of 800-2300 run. For the data analysis a pattern recognition philosophy was used with a preprocessing stage and a multi-layer perceptron (MLP) neural network for the measurement stage. Results show that the interferogram signatures of the above compounds are sufficiently strong in that spectral range. Measurements of three different concentrations were possible with mean squared error (MSE) of the order of 10(-6).

引用

页码：5476 / +

页数：2

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