Application of wavelet analysis for determining glucose concentration of aqueous solutions using NIR spectroscopy

Christopher Sean McNulty; Ganapati R. Mauze

doi:10.1117/12.306101

24 April 1998 Application of wavelet analysis for determining glucose concentration of aqueous solutions using NIR spectroscopy

Christopher Sean McNulty, Ganapati R. Mauze

Author Affiliations +

Proceedings Volume 3257, Infrared Spectroscopy: New Tool in Medicine; (1998) https://doi.org/10.1117/12.306101
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States

Abstract

A method for predicting clinically relevant levels of glucose concentration in aqueous solutions from NIR absorbance spectra will be described. The method makes use of the discrete wavelet transform (DWT). The general concepts of the DWT will be briefly reviewed, with emphasis on the properties of the DWT that make it a suitable transform for the analysis of spectroscopic data. The wavelet analysis prediction method will then be described. Results obtained from applying this method to a set of spectra obtained from solutions with varying glucose and protein concentrations will be presented. These result will be compared with the results obtained from using partial least-squares regression.

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Christopher Sean McNulty and Ganapati R. Mauze "Application of wavelet analysis for determining glucose concentration of aqueous solutions using NIR spectroscopy", Proc. SPIE 3257, Infrared Spectroscopy: New Tool in Medicine, (24 April 1998); https://doi.org/10.1117/12.306101

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