Surgery – Diagnostic testing – Measuring or detecting nonradioactive constituent of body...
Reexamination Certificate
2006-03-07
2006-03-07
Winakur, Eric F. (Department: 3736)
Surgery
Diagnostic testing
Measuring or detecting nonradioactive constituent of body...
C600S316000
Reexamination Certificate
active
07010336
ABSTRACT:
A solution for reducing interference in noninvasive spectroscopic measurements of tissue and blood analytes is provided. By applying a basis set representing various tissue components to a collected sample measurement, measurement interferences resulting from the heterogeneity of tissue, sampling site differences, patient-to-patient variation, physiological variation, and instrumental differences are reduced. Consequently, the transformed sample measurements are more suitable for developing calibrations that are robust with respect to sample-to-sample variation, variation through time, and instrument related differences. In the calibration phase, data associated with a particular tissue sample site is corrected using a selected subset of data within the same data set. This method reduces the complexity of the data and reduces the intra-subject, inter-subject, and inter-instrument variations by removing interference specific to the respective data subset. In the measurement phase, the basis set correction is applied using a minimal number of initial samples collected from the sample site(s) where future samples will be collected.
REFERENCES:
patent: 5638816 (1997-06-01), Kiani-Azarbayjany et al.
patent: 6115673 (2000-09-01), Malin et al.
patent: 6119026 (2000-09-01), McNulty et al.
patent: 6157041 (2000-12-01), Thomas et al.
patent: 6280381 (2001-08-01), Malin et al.
patent: 6415167 (2002-07-01), Blank
patent: 6441388 (2002-08-01), Thomas et al.
patent: 6528809 (2003-03-01), Thomas et al.
patent: 2003/0069484 (2003-04-01), Blank et al.
S.T. Sum, Spectral Signal Correction for Multivariate Calibration, Doctoral Dissertation, University of Delaware, Summer 1998.
D.L. Massart, B.G.M. Vandeginste, S.N. Deming, Y. Michotte and L. Kaufman, Chemometrics: a textbook, New York: Elsevier Science Publishing Company, Inc., 1990.
A.V. Oppenheim and R. W. Schafer, Digital Signal Processing, Englewood Cliffs, NJ: Prentice Hall, 1975, pp. 195-271.
M. Otto, Chemometrics, Weinheim: Wiley-VCH, 1999.
K.R. Beebe., R.J. Pell and M.B. Seasholtz, Chemometrics A Practical Guide, New York: John Wiley & Sons, Inc., 1998.
A. Savitzky and M. J. E. Gotay. Smoothing and Differentiation of Data by Simplified Least Squares Procedures, Anal. Chem., vol. 36, No. 8, pp. 1627-1639, 1964.
H. Martens, T. Naes, Multivariate Calibration, John Wiley and Sons, New York, 1989.
P. Geladi, B. Kowalski, Partial least-squares regression: a tutorial, Analytica Chimica Acta, 185, pp. 1-17, (1986).
S. Haykin, Neural Networks: A Comprehensive Foundation, Prentice Hall, Upper Saddle River NJ (1994).
A. Guyton, J. Hall, Textbook of Medical of Physiology, 9th ed., :Exchange of Nutrients and Other Substances, Philadelphia, W.B. Saunders Company (1996).
M. Van Gernert, S. Jacques, H. Sterenborg, W. Star, Skin optics, IEEE Transactions on Biomedical Engineering, 36:12, pp. 1146-1154 (Dec, 1989).
B. Wilson, S. Jacques, Optical reflectance and transmittance of tissues: principles and applications, IEEE Journal of Quantum Electronics, 26:12, pp. 2186-2199.
F. Ebling, The Normal Skin, Textbook of Dermatology, 2nd ed.; A. Rock; D. Wilkinson, F. Ebling, Eds.; Blackwell Scientific, Oxford, pp 4-24 (1972).
S. Wilson, V. Spence, A tissue heat transfer model for relating dynamic skin temperature changes to physiological parameters, Phys. Med. Biol., 33:894-897 (1988).
S. Jacques, Origins of tissue optical properties in the UVA, Visible and NIR Regions, Optical Society of America, Topical Meeting, Orlando FL (Mar. 18-22, 1996).
P. Geladi, D. McDougall and H. Martens, Linearization and scatter-correction for near-infrared reflectance spectra of meat, Applied Spectroscopy, vol. 39, pp. 491-500, 1985.
R.J. Barnes, M.S. Dhanoa, and S. Lister, Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra, Applied Spectroscopy, 43, pp. 772-777, 1989.
T. Isaksson and B. R. Kowalski, Piece-Wise Multiplicative Scatter Correcton Applied to Near-Infrared Diffuse Transmittance Data from Meat Products, Applied Spectroscopy, vol. 47, pp. 702-709, 1993.
H. Martens and E. Stark, Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy, J. Pharm Biomed Anal, 9, pp. 625-635, 1991.
T. Isaksson, Z. Wang, and B. R. Kowalski, J., Optimised scaling (OS-2) regression applied to near infrared diffuse spectroscopy data from food products, Near Infrared Spectroscopy, 1, pp. 85-97, 1993.
U. Muller, B. Mertes, C. Fischbacker, K. Jagemann, K. Danzer, Noninvasive blood glucose monitoring by means of new infrared spectroscopic methods for improving the reliability of the calibration models, Int J Artif Organs, 20:285-290 (1997).
J. Burmeister, M. Arnold, G. Small, Human noninvasive measurement of glucose using near infrared spectroscopy [abstract], Pittcon, New Orleans LA (1998).
T. Blank, T. Ruchti, S. Malin, S. Monfre, The use of near-infrared diffuse reflectance for the noninvasive prediction of blood glucose, IEEE Lasers and Electro-Optics Society Newsletter, 13:5 (Oct. 1999).
O. Khalil, Spectroscopic and clinical aspects of noninvasive glucose measurements, Clin Chem, 45:165-77 (1999)).
R. Anderson, J. Parrish, The optics of human skin, Journal of Investigative Dermatology, 7:1, pp. 13-19 (1981).
W. Cheong, S. Prahl, A. Welch, A review of the optical properties of biological tissues, IEEE Journal of Quantum Electronics, 26:12, pp. 2166-2185, (Dec. 1990).
D. Benaron, D. Ho, Imaging (NIRI) and quantitation (NIRS) in tissue using time-resolved spectrophotometry: the impact of statically and dynamically variable optical path lengths, SPIE, 1888, pp. 10-21 (1993).
J. Conway, K. Norris, C. Bodwell, A new approach for the estimation of body composition: infrared interactance, The American Journal of Clinical Nutrition, 40, pp. 1123-1140 (Dec. 1984).
S. Homma, T. Fukunaga, A. Kagaya, Influence of adipose tissue thickness in near infrared spectroscopic signals in the measurement of human muscle, Journal of Biomedical Optics, 1:4, pp. 418-424 (Oct. 1996).
A. Profio, Light transport in tissue, Applied Optics, 28:12), pp. 2216-2222, (Jun. 1989).
See Diabetes Statistics, Publication No. 98-3926, National Institutes of Health, Bethesda MD (Nov. 1997).
See The Diabetes Control and Complications Trial Research Group, The effect of intensive treatment of diabetes on the development and . . . N Eng J of Med, 329:977-86 (1993).
M. Robinson, R. Eaton, D. Haaland, G. Keep, E. Thomas, B. Stalled, P. Robinson, Noninvasive glucose monitoring in diabetic patients: A preliminary evaluation, Clin Chem, 38:1618-22 (1992).
H. Heise, R. Marbach, T. Koschinsky, F. Gries, Noninvasive blood glucose sensors based on near-infrared spectroscopy, Artif Org, 18:439-47 (1994).
H. Heise, R. Marbach, Effect of data pretreatment on the noninvasive blood glucose measurement by diffuse reflectance near-IR spectroscopy, SPIE Proc, 2089:114-5 (1994).
R. Marbach, T. Koschinsky, F. Gries, H. Heise, Noninvasive blood glucose assay by near-infrared diffuse reflectance spectroscopy of the human inner lip, Appl Spectrosc, 47:875-81 (1993).
R. Marbach, H. Heise, Optical diffuse reflectance accessory for measurements of skin tissue by near-infrared spectroscopy, Applied Optics 34(4):610-21 (1995).
K. Jagemann, C. Fischbacker, K. Danzer, U. Muller, B. Mertes, Application of near-infrared spectroscopy for noninvasive determination of blood/tissue glucose using neural network, Z Phys Chem, 191S:179-190 (1995).
C. Fischbacker, K. Jagemann, K. Danzer, U. Muller, L. Papenkrodt, J. Schuler, Enhancing calibration models for noninvasive near-infrared spectroscopic blood glucose determinations, Fresenius J Anal Chem 359;78-82 (1997).
K. Danzer, C. Fischbacker, K. Jagemann, K. Reichelt, Near-infrared diffuse reflection spectroscopy for noninvasive blood-glucose monitoring, LEOS Newsletter 12(2):9-11 (1998).
Ljung, Lennart, Systems Identification: Theory for the User, 2d.ed, Prentice Hall (1999).
Hazen, Kevin H. “Glucose Determination in Biological Matrices Using Near-Infrared Spectroscopy”, doctoral
Blank Thomas B.
Hazen Kevin H.
Lorenz Alexander D.
Ruchti Timothy L.
Glenn Michael A.
Glenn Patent Group
Kremer Matthew J.
Sensys Medical Inc.
Winakur Eric F.
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