14 February 2007 Methodology of effective glucose-specific signal extraction in complicated sample
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Proceedings Volume 6445, Optical Diagnostics and Sensing VII; 64450L (2007); doi: 10.1117/12.699496
Event: SPIE BiOS, 2007, San Jose, California, United States
Abstract
In the area of noninvasive human blood glucose concentration detecting, it has always been a critical task to extract the glucose-specific signal from the highly overlapped and disturbed near-infrared spectrum. In this paper, the methodology of effective glucose-specific signal extraction in complicated non-scattering sample is studied. By analyzing the impact of water displacement upon dissolution of glucose, the relationship between glucose concentration and absorption coefficient of the sample is deduced. Then, the reference wavelength where the absorption coefficient is insensitive to the changes of glucose concentration is put forward theoretically. Accordingly, the validating experiments in aqueous glucose solutions are executed. Both the theoretical and laboratorial results show that the reference wavelength of glucose appears at 1525nm. Based on the reference wavelength, an effective method for extracting the glucose-specific signal in complicated non-scattering samples is proposed and the corresponding validating experiments are constructed with different glucose and albumin concentration. Two different methods, traditional and the novel reference wavelength method are used to extract glucose signal and the corresponding root mean square error of prediction are 19.86mg/dl and 9.87mg/dl respectively. The experiment results indicate that the reference wavelength method can effectively eliminate the influence of various noises on the glucose-specific signal extraction, and thus can remarkably improve the measuring precision in noninvasive near-infrared glucose detecting.
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Wenliang Chen, Bin Deng, Rong Liu, Xiaoyu Gu, Kexin Xu, "Methodology of effective glucose-specific signal extraction in complicated sample", Proc. SPIE 6445, Optical Diagnostics and Sensing VII, 64450L (14 February 2007); doi: 10.1117/12.699496; https://doi.org/10.1117/12.699496
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KEYWORDS
Glucose

Absorption

Calibration

Signal detection

Absorbance

Blood

Interference (communication)

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