Paper
31 October 2016 Determination of the reference position in the near-infrared non-invasive blood glucose measurement in vivo
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Abstract
Position-based reference measurement method is taken as one of the most promising method in non-invasive measurement of blood glucose based on spectroscopic methodology. Selecting an appropriate source-detector separation as the reference position is important for deducting the influence of background change and reducing the loss of useful signals. Our group proposed a special source-detector separation named floating-reference position where the signal contains only background change, that is to say, the signal at this source-detector separation is uncorrelated with glucose concentration. The existence of floating-reference position has been verified in a three layer skin by Monte Carlo simulation and in the in vitro experiment. But it is difficult to verify the existence of floating-reference position on the human body because the interference is more complex during in vivo experiment. Aiming at this situation, this paper studies the determination of the best reference position on human body by collecting signals at several source-detector separations on the palm and measuring the true blood glucose levels during oral glucose tolerance test (OGTT) experiments of 3 volunteers. Partial least square (PLS) calibration model is established between the signals at every source-detector separation and its corresponding blood glucose levels. The results shows that the correlation coefficient (R) between 1.32 mm to 1.88 mm is lowest and they can be used as reference for background correction. The signal of this special position is important for improving the accuracy of near-infrared non-invasive blood glucose measurement.
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Guang Han, Jin Liu, Rong Liu, and Kexin Xu "Determination of the reference position in the near-infrared non-invasive blood glucose measurement in vivo", Proc. SPIE 10024, Optics in Health Care and Biomedical Optics VII, 100242S (31 October 2016); https://doi.org/10.1117/12.2245908
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KEYWORDS
Glucose

Blood

Calibration

In vivo imaging

Light sources

Optical fibers

Sensors

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