Multivariate regression and discreminant calibration models for a novel optical non-invasive blood glucose measurement method named pulse glucometry

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009

Volumn , Issue , 2009, Pages 126-129

  Yamakoshi, Yasuhiro ^a   Ogawa, Mitsuhiro ^b   Yamakoshi, Takehiro ^c   Tamura, Toshiyo ^d   Yamakoshi, Ken Ichi ^c  

^a Yusys Corporation   (Japan)

^b yusys Corporation   (Japan)

^c KANAZAWA UNIVERSITY   (Japan)

^d CHIBA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BLOOD; CALIBRATION; GLUCOSE; LEAST SQUARES APPROXIMATIONS; SUPPORT VECTOR MACHINES;

BLOOD GLUCOSE CONCENTRATION; BLOOD GLUCOSE MEASUREMENTS; ERROR GRID ANALYSIS; MEASUREMENT TECHNIQUES; MULTIVARIATE REGRESSION; PARTIAL LEAST SQUARES REGRESSION; SUPPORT VECTOR MACHINE (SVMS); TRANSMITTED RADIATION;

REGRESSION ANALYSIS;

EID: 77950972887     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2009.5335104     Document Type: Conference Paper

References (15)

1. J. Lawton, E. Peel, M. Douglas and O, Parry, "'Urine testing is a waste of time': newly diagnosed Type 2 diabetes patients' perceptions of self-monitoring," Diabetic Medicine, vol.21, no.9, pp. 1045-8 Sep. 2004 .
2. M. J. Tierney, J. A. Tamada, R. O. Potts, R. C. Eastman, K. Pitzer, N. R. Ackerman and S. J. Fermi, "The GlucoWatch biographer: a frequent automatic and noninvasive glucose monitor," Ann. Med, vol.32, no.9, pp. 632-641, Dec. 2000.
3. R. Marbach, Th. Koschinsky, F. A. Gries, and H. M. Heise, "Noninvasive Blood Glucose Assay by Near-Infrared Diffuse Reflectance Spectroscopy of the Human Inner Lip," Applied Spectroscopy, vol.47, no.7, pp. 875-881, 1993.
4. H. Zeller, P. Novak and Landgraf, "Blood glucose measurement by infrared spectroscopy," Int J Artif Organs, vol.12, no.2, pp. 129-135, Feb. 1989.
5. A. J. Berger, I. Itzkan and M. S. Feld, "Feasibility of measuring blood glucose concentration by near-infrared Raman spectroscopy," Spectrochim Acta A Mol Biomol Spectrosc., vol.53A, no.2, pp. 287-292, Feb. 1997.
6. K. Yakmakoshi and Y. Yamakoshi, "Pulse glucometry: a new approach for noninvasive blood glucose measurement using instantaneous differential near-infrared spectrophotometry," Journal of Biomedical Optics, vol.11, no.5, 054028, Sep.-Oct. 2006.
7. K. Yamakoshi, "A Non-invasive Blood constituent Measuring Instrument and Measuring Method," Intern. Patent No. PCT/JP03/03587.
8. K. Yamakoshi, Y. Yamakoshi, M. Nogawa, T. Yamakoshi and S. Tanaka, "A New Approach for Noninvasive Blood Glucose Measurement Using Differential Near Infrared Spectrophotometry," in Proc. of World Congress on Medical Physics and Biomedical Engineering 2006, Seoul, 2006, 2961.
9. K. J. Ward, D. M. Haaland, M. R. Robinson and R. P. Eaton, "Post-Prandial Blood Glucose Determination by Quantitative Mid-Infrared Spectroscopy," Applied Spectroscopy, vol.46, no.6, pp. 959-965, 1992
10. N. Cristianini and J. Shawe-Taylor, An Introduction to Support Vector Machines and other kernel-based learning methods. Cambridge: Cambridge University Press, 2000.
11. T. B. Trafalis and R. C. Gilbert, Robust classification and regression using support vector machines. Amsterdam: Elsevier B.V., 2006
12. http://www.r-project.org/
13. http://cran.r-project.org/src/contrib/Descriptions/kernlab.html
14. W. L. Clarke, D. Cox, L. A. Gonder-Frederick, W. Carter, "Evaluating clinical accuracy of systems for self-monitoring of blood glucose," Diabetes Care., vol.10, no.5, pp. 622-628, Sep.-Oct. 1987.
15. U. Thissen, M. Pepers, B. Ustun, W. J. Melssen and L. M. C. Buydens, "Comparing support vector machines to PLS for spectral regression applications," Chemometrics and Intelligent Laboratory Systems, vol.73, pp. 169-179, 2004.