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Proceedings Paper

Optimizations of preprocessing and wavelength selection in predicting human total hemoglobin concentrations based on VIS/NIR spectroscopy
Author(s): Gilwon Yoon; Seonwoo Kim; Yoen-Joo Kim; Jongwon Kim; Won Ky Kim
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Paper Abstract

The importance and effects of data preprocessing and wavelength selection were investigated in predicting total hemoglobin concentrations form absorption spectra. Spectra of the 1 nm interval between 500-900nm were measured from the whole blood samples taken form 165 patients whose hemoglobin concentrations ranged between 7-17 g/dl. The concentrations were predicted using the partial least squares regression. A total of 18 different combinations of preprocessing were tested. The partial least squares regression analysis provided quite different results depending on preprocessing methods and a wide range of prediction accuracy was obtained. For example, the sum of squares of difference ranged from 6-18.6, R2 varied from 0.8333 to 0.9477 and the root mean squared errors were from 0.5504-0.966 g/dl. The best results was obtained from the data processed by linear regression baseline fitting, unit area correction, mean centering and variance scaling. Instead of using all wavelengths in the broad-band spectra, a discrete number of wavelengths were selected to predict the concentrations using our algorithm, which will be advantageous in developing compact and less expensive commercial devices. It proves that a careful selection of wavelengths can provide a comparable accuracy obtained from using the broad-band spectra. For our particular experimental data, the measurement form only three discrete wavelengths could provide excellent results.

Paper Details

Date Published: 24 April 1998
PDF: 8 pages
Proc. SPIE 3257, Infrared Spectroscopy: New Tool in Medicine, (24 April 1998); doi: 10.1117/12.306078
Show Author Affiliations
Gilwon Yoon, Samsung Biomedical Research Institute (South Korea)
Seonwoo Kim, Samsung Biomedical Research Institute (South Korea)
Yoen-Joo Kim, Samsung Biomedical Research Institute (South Korea)
Jongwon Kim, Samsung Medical Ctr. (South Korea)
Won Ky Kim, Samsung Biomedical Research Institute (South Korea)

Published in SPIE Proceedings Vol. 3257:
Infrared Spectroscopy: New Tool in Medicine
Henry H. Mantsch; Michael Jackson, Editor(s)

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