Fundamental study on non-invasive blood glucose sensing

Journal of X-Ray Science and Technology

Volumn 10, Issue 3-4, 2002, Pages 187-197

  Xu, Kexin ^a   Li, Qingbo ^a   Lu, Zhang ^a   Jiang, Jingying ^a  

^a TIANJIN UNIVERSITY   (China)

Author keywords

Blood glucose; Image matching; Near infrared spectroscopy; Noninvasive

Indexed keywords

BLOOD; GLUCOSE; INFRARED SPECTROSCOPY;

GLUCOSE SENSING;

GLUCOSE SENSORS;

EID: 0036447617     PISSN: 08953996     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. A. Mark and G.W. Small, Determination of Physiological Levels of Glucose in an Aqueous Matrix with Digitally Filtered Fourier Transform Near-Infrared Spectra, Anal, Chem. 62(14) (1990), 1457-1464.
2. K.H. Hazen, M.A. Arnold and Gary W. Small, Temperature-Insensitive Near-Infrared Spectroscopic Measurement of Glucose in Aqueous Solutions, Applied Spectroscopy 48(4) (1994), 477-483.
3. R.E. Shaffer and G.W. Small, Genetic Algorithm-Based Protocol for coupling Digital Filtering and Partial Least-Squares Regression: Application to the Near-infrared Analysis of Glucose in Biological Matrices, Anal Chem. 68 (1996), 2663-2675.
4. S. Pan, H. Chung and M.A. Arnold, Near-Infrared Spectroscopic Measurement of Physiological Glucose Levels in Variable Matrices of Protein and Triglycerudes, Anal Chem 68(7) (1996), 1124-1134.
5. R.D. Rosenthal et al., Non-invasive measurement of Blood Glucose, USP 5,028,787, July 2, 1991.
6. R.H. Barnes et al., Non-invasive Determination of Glucose Concentration in Body of Patients, USP 5,070,874, Dec 10, 1991.
7. S.F. Malin and T.L. Ruchti et al., Non-invasive Prediction of Glucose By Near-infrared Diffuse Reflectance Spectroscopy, Clinical Chemistry 45(9) (1999), 1651-1658.
8. A.J. Berger and M.S. Feld, Analytical Method of Estimating Chemometric Prediction Error, Applied Spectroscopy 51(5) (1997), 725-731.
9. A.S. Bangalore, R.E. Shaffer and G.W. Small et al., Genetic Algorithm-Based Method for Selecting Wavelengths and Model Size for Use with Partial Least-Squares Regression: Application to Near-infrared Spectroscopy, Analytical Chemistry 68(23) (1996), 4200-4212.
10. N. Zhang and P. Yan, Neural Network sand Fuzzy Control, Beijing Publishing House of Qinghua University, 1998, pp. 18-20.
11. L.G. Brown, A survey of image registration techniques, ACM Computing Surveys 24(4) (1992), 325-376.
12. T. Qi and M.N. Huhns, Algorithms for sub-pixel registration, Computer Vision, Graphics, and Image Processing 35 (1981), 220-233.
13. C.D. Kuglin and D.C. Hines, The phase correlation image alignment method, in Proc. 1975 Int. Conf. Cybernetics and Society, New York, NY, Sep 1975, pp. 163-165S.
14. Reddy and B.N. Chatterji, An FFT-based technique for translation, rotation, and scale-invariant image registration, IEEE Trans. on Image Processing 5(8) (1996), 1266-1271.
15. D.E. Castro and C. Morandi, Registration of translated and rotated images using finite Fourier Transforms, IEEE Trans. on Pattern Analysis and Machine Intelligence PAMI-9(5) (1987), 700-703.