Abstract
We present a method for glucose prediction from mid-IR spectra by independent component analysis (ICA). This method is able to identify pure, or individual, absorption spectra of constituent components from the mixture spectra without a priori knowledge of the mixture. This method was tested with a two-component system consisting of an aqueous solution of both glucose and sucrose, which exhibit distinct but closely overlapped spectra. ICA combined with principal component analysis was able to identify a spectrum for each component, the correct number of components, and the concentrations of the components in the mixture. This method does not need a calibration process and is advantageous in noninvasive glucose monitoring since expensive and time-consuming clinical tests for data calibration are not required.
© 2006 Optical Society of America
Full Article | PDF ArticleOSA Recommended Articles
Sabbir Liakat, Kevin A. Bors, Tzu-Yung Huang, Anna P. M. Michel, Eric Zanghi, and Claire F. Gmachl
Biomed. Opt. Express 4(7) 1083-1090 (2013)
Yoen-Joo Kim, Sangjoon Hahn, and Gilwon Yoon
Appl. Opt. 42(4) 745-749 (2003)
Saiko Kino, Suguru Omori, Takashi Katagiri, and Yuji Matsuura
Biomed. Opt. Express 7(2) 701-708 (2016)