Fiber-optic evanescent-wave spectroscopy and neural networks: Application to chemical blood analysis

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Abstract

An infrared spectral analysis of human blood serum has been carried out with Fourier transform infrared fiber-optic evanescent-wave spectroscopy. The measured spectra were analyzed by neural network analysis to predict concentrations of cholesterol, creatinine, total protein, urea, and uric acid. The predicted concentrations were compared with results from standard chemical analysis of blood and a good correlation was observed.

Original languageEnglish
Pages (from-to)3357-3360
Number of pages4
JournalApplied Optics
Volume39
Issue number19
DOIs
StatePublished - 1 Jul 2000

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