The invention relates to a noninvasive analyzer and a method of using information determined at least in part from in-vitro spectra of tissue phantoms or analyte solutions to aid in the development of a noninvasive glucose concentration analyzer and/or in the analysis of noninvasive spectra resulting in glucose concentration estimations in the body. The preferred apparatus is a spectrometer that includes a base module and a sample module that is semi-continuously in contact with a human subject and that collects spectral measurements which are used to determine a biological parameter in the sampled tissue, such as glucose concentration. Collection of in-vitro samples is, optionally, performed on a separate instrument from the production model allowing the measurement technology to be developed on a research grade instrument and used or transferred to a target product platform or production analyzer for noninvasive glucose concentration estimation.
CROSS REFERENCE TO RELATED APPLICATIONS
This application claims benefit of U.S. Provisional Patent Application Ser. No. 60/518,136, filed Nov. 6, 2003, and is a continuation-in-part of:
U.S. patent application Ser. No. 10/971,447, filed Oct. 21, 2004, which claims benefit of U.S. Provisional Patent Application Ser. No. 60/532,602, filed Dec. 23, 2003;
U.S. patent application Ser. No. 10/820,322, filed Apr. 7, 2004, which is a Continuation-in-part of U.S. patent application Ser. No. 09/877,529, filed Jun. 8, 2001, now abandoned, which is a Continuation-in-part of U.S. patent application Ser. No. 09/415,389, filed Oct. 8, 1999, now U.S. Pat. No. 6,411,373 (Jun. 25, 2002); and
U.S. patent application Ser. No. 10/472,856, filed Sep. 18, 2003, now U.S. Pat. No. 7,133,710 (Oct. 18, 2006), which claims priority from PCT Application No. PCT/US03/07065, filed Mar. 7, 2003, which claims benefit of U.S. Provisional Patent Application Ser. No. 60/362,885, filed Mar. 8, 2002,
each of which is incorporated herein in its entirety by this reference thereto.
A method is provided for a virtual sensor system. The method may include establishing a first process model indicative of interrelationships between a plurality of input parameters and a plurality of output parameters and establishing a second process model indicative of interrelationships between at least the plurality of input parameters and modeling errors of the first process model. The method may also include operating the first process model to generate values of the plurality of output parameters and simultaneously operating the second model to generate estimated deviations between the values of the plurality of output parameters and desired values of the plurality of output parameters. Further, the method may include compensating the values of the plurality of output parameters with the estimated deviations to generate the desired values of the plurality of output parameters.
