Non-invasive blood glucose monitoring by means of near infrared spectroscopy: Methods for improving the reliability of the calibration models

被引：54

作者：

Muller, UA ^{[1
]}

Mertes, B ^{[1
]}

Fischbacher, C ^{[1
]}

Jageman, KU ^{[1
]}

Danzer, K ^{[1
]}

机构：

[1] UNIV JENA, INST ANORGAN & ANALYT CHEM, D-6900 JENA, GERMANY

来源：

INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS | 1997年 / 20卷 / 05期

关键词：

glucose self monitoring; type-1-diabetes; NIR-spectroscopy; non-invasive blood glucose determination; multivariate calibration;

D O I：

10.1177/039139889702000509

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

The feasibility of using near infrared reflection spectroscopy for non-invasive blood glucose monitoring is discussed. Spectra were obtained using a diode-array spectrometer with a fiberoptic measuring head with a wavelength ranging from 800 nm to 1350 nm. Calibration was performed using partial least-squares regression and radial basis function networks. The results of different methods used to evaluate the quality of the recorded spectra in order to improve the reliability of the calibration models, are presented.

引用

页码：285 / 290

页数：6

共 29 条

[1] DEVELOPMENT OF A WEARABLE GLUCOSE SENSOR - STUDIES IN HEALTHY-VOLUNTEERS AND IN DIABETIC-PATIENTS [J].

AALDERS, AL ;

SCHMIDT, FJ ;

SCHOONEN, AJM ;

BROEK, IR ;

MAESSEN, AGFM ;

DOORENBOS, H .

INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS, 1991, 14 (02) :102-108

[2]

[Anonymous], 1989, MULTIVARIATE CALIBRA

[3]

BOTT U, 1993, DIABETIC MED, V11, P326

[4] ORTHOGONAL LEAST-SQUARES LEARNING ALGORITHM FOR RADIAL BASIS FUNCTION NETWORKS [J].

CHEN, S ;

COWAN, CFN ;

GRANT, PM .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1991, 2 (02) :302-309

[5] EVALUATING CLINICAL ACCURACY OF SYSTEMS FOR SELF-MONITORING OF BLOOD-GLUCOSE [J].

CLARKE, WL ;

COX, D ;

GONDERFREDERICK, LA ;

CARTER, W ;

POHL, SL .

DIABETES CARE, 1987, 10 (05) :622-628

[6] PROGNOSIS OF DIABETICS WITH DIABETES ONSET BEFORE AGE OF 31 .1. SURVIVAL, CAUSES OF DEATH, AND COMPLICATIONS [J].

DECKERT, T ;

POULSEN, JE ;

LARSEN, M .

DIABETOLOGIA, 1978, 14 (06) :363-370

[7]

Demuth H., 1994, NEURAL NETWORK TOOLB

[8] ROBUSTNESS ANALYSIS OF RADIAL BASE FUNCTION AND MULTILAYERED FEEDFORWARD NEURAL-NETWORK MODELS [J].

DERKS, EPPA ;

PASTOR, MSS ;

BUYDENS, LMC .

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1995, 28 (01) :49-60

[9]

DUNCAN A, 1995, P 8 INT C SOL STAT S

[10] PARTIAL LEAST-SQUARES METHODS FOR SPECTRAL ANALYSES .1. RELATION TO OTHER QUANTITATIVE CALIBRATION METHODS AND THE EXTRACTION OF QUALITATIVE INFORMATION [J].

HAALAND, DM ;

THOMAS, EV .

ANALYTICAL CHEMISTRY, 1988, 60 (11) :1193-1202

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