دورية أكاديمية

Multivariate determination of glucose concentrations from optimally filtered frequency-warped NIR spectra of human blood serum.

التفاصيل البيبلوغرافية
العنوان: Multivariate determination of glucose concentrations from optimally filtered frequency-warped NIR spectra of human blood serum.
المؤلفون: Ham FM; Florida Institute of Technology, Electrical Engineering Program, Melbourne 32901-6988, USA., Cohen GM, Kostanic I, Gooch BR
المصدر: Physiological measurement [Physiol Meas] 1996 Feb; Vol. 17 (1), pp. 1-20.
نوع المنشور: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: IOP Pub. Ltd Country of Publication: England NLM ID: 9306921 Publication Model: Print Cited Medium: Print ISSN: 0967-3334 (Print) Linking ISSN: 09673334 NLM ISO Abbreviation: Physiol Meas Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Bristol, UK : IOP Pub. Ltd., c1993-
مواضيع طبية MeSH: Blood Glucose/*analysis, Humans ; Reproducibility of Results ; Sensitivity and Specificity ; Spectrophotometry, Infrared/instrumentation ; Spectrophotometry, Infrared/methods
مستخلص: Glucose concentrations over the 39-160 mg dl-1 range have been determined from 357 NIR (near-infrared) spectra of human blood serum in the spectral region from 6766 cm-1 to 4003 cm-1. A frequency-warping procedure was applied to the NIR data to compress 511 spectral components into 102 in the 6766-4003 cm-1 spectral region. Before the data compression process was carried out, the NIR spectrum of deionized water was subtracted from each of the blood serum spectra to remove the intrinsic high background absorption due to the water. PLS (partial least-squares) regression was coupled with time-domain digital Butterworth bandpass filtering in an optimization procedure. The optimization procedure was carried out over a range of centre frequencies and bandwidths for first- (two-pole), second- (four-pole) and third- (six-pole) order bandpass filters, and over a range of PLS factors. The optimal PLS model and filter parameters were determined from a sequence of three-dimensional performance response maps for different numbers of PLS factors and filter orders. As a basis for comparison, the same optimization process was carried out for a Gaussian filter design approach (i.e., Fourier filtering). Using the optimally filtered frequency-warped NIR spectral data, an SEP (standard error of prediction) of 13.2 mg dl-1 was achieved fro the test (monitoring) data using 14 PLS factors and a simple first-order (two-pole) digital Butterworth bandpass filter.
المشرفين على المادة: 0 (Blood Glucose)
تواريخ الأحداث: Date Created: 19960201 Date Completed: 19961011 Latest Revision: 20191101
رمز التحديث: 20231215
DOI: 10.1088/0967-3334/17/1/001
PMID: 8746372
قاعدة البيانات: MEDLINE
الوصف
تدمد:0967-3334
DOI:10.1088/0967-3334/17/1/001