Optimizations of preprocessing and wavelength selection in predicting human total hemoglobin concentrations based on VIS/NIR spectroscopy

Gilwon Yoon; Seonwoo Kim; Yoen-Joo Kim; Jongwon Kim; Won Ky Kim

doi:10.1117/12.306078

24 April 1998 Optimizations of preprocessing and wavelength selection in predicting human total hemoglobin concentrations based on VIS/NIR spectroscopy

Gilwon Yoon, Seonwoo Kim, Yoen-Joo Kim, Jongwon Kim, Won Ky Kim

Author Affiliations +

Proceedings Volume 3257, Infrared Spectroscopy: New Tool in Medicine; (1998) https://doi.org/10.1117/12.306078
Event: BiOS '98 International Biomedical Optics Symposium, 1998, San Jose, CA, United States

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.

Citation Download Citation

Gilwon Yoon, Seonwoo Kim, Yoen-Joo Kim, Jongwon Kim, and Won Ky Kim "Optimizations of preprocessing and wavelength selection in predicting human total hemoglobin concentrations based on VIS/NIR spectroscopy", Proc. SPIE 3257, Infrared Spectroscopy: New Tool in Medicine, (24 April 1998); https://doi.org/10.1117/12.306078

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available