Fiber-Optic Evanescent-Wave Spectroscopy and Neural Networks: Application to Chemical Blood Analysis
Applied Optics, Vol. 39, Issue 19, pp. 3357-3360 (2000)
http://dx.doi.org/10.1364/AO.39.003357
Acrobat PDF (242 KB)
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.
© 2000 Optical Society of America
[Optical Society of America ]
OCIS Codes
(060.2390) Fiber optics and optical communications : Fiber optics, infrared
(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine
(200.4260) Optics in computing : Neural networks
(300.6300) Spectroscopy : Spectroscopy, Fourier transforms
(300.6340) Spectroscopy : Spectroscopy, infrared
Citation
Osnat Eytan, Ben-Ami Sela, and Abraham Katzir, "Fiber-Optic Evanescent-Wave Spectroscopy and Neural Networks: Application to Chemical Blood Analysis," Appl. Opt. 39, 3357-3360 (2000)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-39-19-3357
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