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Journal of Biomedical Optics

Prediction of glucose in whole blood by near-infrared spectroscopy: Influence of wavelength region, preprocessing, and hemoglobin concentration
Author(s): Yoen-Joo Kim; Gilwon Yoon
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Paper Abstract

Measurement accuracy for predicting glucose in whole blood was studied based on near-infrared spectroscopy. Optimal wavelength regions, preprocessing, and the influence of hemoglobin were examined using partial least-squares regression. Spectra between 1100 and 2400 nm were measured from 98 whole blood samples. In order to study the influence of hemoglobin, which is the most dominant component in blood, 98 samples were arranged such that glucose and hemoglobin concentrations were distributed in their physiological ranges. Samples were grouped into three depending on hemoglobin level. The results showed that glucose prediction was influenced by hemoglobin concentrations in the calibration model. It was necessary for samples used in the calibration model to represent the entire range of hemoglobin level. The cross-validation errors were the smallest when the wavelength regions of 1390 to 1888 nm and 2044 to 2393 nm were used. However, prediction accuracy was not very dependent on preprocessing methods in this optimal region. The standard error of glucose prediction was 25.5 mg/dL and the coefficient of variation in prediction was 11.2%.

Paper Details

Date Published: 1 July 2006
PDF: 7 pages
J. Biomed. Opt. 11(4) 041128 doi: 10.1117/1.2342076
Published in: Journal of Biomedical Optics Volume 11, Issue 4
Show Author Affiliations
Yoen-Joo Kim, The Univ. of Texas/Austin (United States)
Gilwon Yoon, Seoul National Univ. (South Korea)


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