Blood diagnostics using fiberoptic evanescent wave spectroscopy and neural networks analysis

Sensors and Actuators, B: Chemical

Volumn 42, Issue 3 B, 1997, Pages 157-161

  Gotshal, Yaron ^a   Simhi, Ronit ^a   Sela, Ben Ami ^b   Katzir, Abraham ^a  

^a TEL AVIV UNIVERSITY   (Israel)

^b SHEBA MEDICAL CENTER   (Israel)

Author keywords

Blood analysis; FEWS; Neural network; Silver halide

Indexed keywords

DIAGNOSIS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; NEURAL NETWORKS; PROTEINS; SILVER COMPOUNDS;

BLOOD ANALYSIS; FIBEROPTIC EVANESCENT WAVE SPECTROSCOPY;

BLOOD;

EID: 0031197264     PISSN: 09254005     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-4005(97)80331-0     Document Type: Article

References (14)

1. R.J. Henry, Clinical Chemistry, 2nd ed., Harper and Row, New York, 1974.
2. N.J. Harrick, Internal Reflection Spectroscopy, Harrick Scientific, Ossington, NY, 1979.
3. Y. Mecdelson, A.C. Clermont, R.A. Peura, B. Lin, Blood glucose measurements by multiple attenuated total reflection and infrared absorption spectroscopy, IEEE Trans. Biomed. Eng. 37 (1990) 458-464.
4. H. Martens, T. Naes, Multivariate Calibration, ch. 1-3, Wiley, New York, 1991.
5. R. Marabach, H.M. Heise, On the efficiency of algorithms for multivariate linear calibration used in analytical spectroscopy, Trends Anal. Chem. 11 (1992) 270-275.
6. H.M. Heise, R. Marbach, G. Janatsch, J.D. Kruse-Jarres, Multivariate determination of glucose in whole blood by attenuated total reflection infrared spectroscopy, Anal. Chem. 61 (1989) 2009-2015.
7. G. Janatsch, J.D. Kruse-Jarres, R. Marabach, H.M. Heise, Multivariate calibration for assays in clinical chemistry using attenuated total reflection infrared spectra of human blood plasma, Anal. Chem. 61 (1989) 2016-2023.
8. E. Stohr, P. Bhandare, R.A. Peura, Y. Mendelson, Quantitative FTIR spectroscopy of cholesterol and other blood constituents and their interference with the in-vitro measurement of blood glucose, Procceedings of the 18th IEEE Annual Northeast Bioengineering Conference, 1992, pp. 105-106.
9. H.M. Heise, R. Marabach, T.H. Koschinsky, F.A. Gries, Multicomponent assay for blood substrates in human plasma by mid-infrared spectroscopy and its evaluation for clinical analysis, Appl. Spectrosc. 48 (1994) 85-95.
10. P. Bhandare, Y. Mendelson, E. Stohr, R.A. Peura, Glucose determination in simulated blood serum solutions by Fourier transform infrared spectroscopy: investigation of spectral interference, Vib. Spectrosc. 6 (1994) 363-378.
11. J. Hertz, A. Krogh, R.G. Palmer, Introduction to the Theory of Neural Computation, ch. 1,5,6, Addison-Wesley, Reading, 1991.
12. R.F. Gunst, R.L. Mason, Biased estimation in regression. An evaluation using mean squared error, J. Am. Stat. Assoc. 72 (1977) 616-628.
13. S.D. Oman, An exact formula for the mean squared error of the inverse estimator in the linear calibration problem, J. Stat. Planning Inference 11 (1985) 189-196.
14. M. Katz, A. Katzir, I. Schnitzer, A. Bornstein, Quantitative evaluation of chalogenide glass fiber evanecent wave specroscopy, Appl. Opt. 33 (1994) 5884-5894.