Enhanced non-invasive analysis system and method

• US 20130018238A1
• Filed: 09/13/2011
• Published: 01/17/2013
• Est. Priority Date: 09/14/2010
• Status: Abandoned Application

• Current Assignee: Andrew Patti, Carol Jean Wilson, Josh N. Hogan
• Original Assignee: Andrew Patti, Carol Jean Wilson, Josh N. Hogan
• Inventors: Patti, Andrew, Wilson, Carol Jean, Hogan, Josh N.
• Application Number:
  US13/199,932
• Publication Number:
  US 20130018238A1
• Time in Patent Office: Days
• US Class Current: 600/316
• CPC Class Codes: A61B 3/102 for optical coherence tomography [OCT]
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/72 Signal processing specially adapted for physiological signals or for diagnostic purposes character recognition, recognising digital ink, document-oriented image-based pattern recognition G06V30/00; recognition or understanding of postal images G06V30/424

Abstract

The invention provides an enhanced method and system for non-invasive analysis of a target. The enhancement includes increased analytic power derived from creating a complete representation of a target using less than complete information. The invention provides a non-invasive analysis system and method that includes generating and exploiting a system model that includes a target model that accurately represents the interaction of radiant energy with a target.

In a preferred embodiment according to the invention, a digital signal processor compares signals acquired from an actual non-invasive system with theoretical signals generated using the system model, identifies the target model that matches most closely, and outputs target characteristics, including target attribute of interest.

Claims

1. A method performable by a non-invasive analysis system to determine at least one attribute of a target, said method comprising:

generating at least one actual signal from signals acquired by an actual system from said target, where said actual system is a non-invasive analysis system;

generating at least one theoretical signal by means of a system model that represents the interaction of radiation and said target, said system model comprised of;

said actual system characteristics;

a target model, said target model including at least one representation of said target, said representation describing said target as at least a one dimensional model of the interaction of radiation and said target,

processing said actual signal and said theoretical signal,

determining said attribute of said target, and

communicating said attribute to User.

2. The method as in claim 1 wherein the step of processing said actual signal and said theoretical signal includes generating a complete profile of target from information from a segmented scan of said target.

3. The method as in claim 1, wherein the step of processing said actual signal and said theoretical signal includes the sub-step of determining a target model with the target characteristics that match the actual signal.

4. The method as in claim 1, wherein the step of processing said actual signal and said theoretical signal includes the sub-step of providing feedback to said system model, where said feedback includes the comparison of said actual signal and said theoretical signal, and such providing feedback further enabling sub-steps of iterations of the system model, theoretical signal and processing steps, prior to the step of communicating said attribute of said target to User.

5. The method as in claim 1, wherein said target may include any of the following:

tissue;

tissue fluid;

interstitial fluid;

blood;

eye;

lens;

cornea;

retina.

6. The method as in claim 1 wherein said target model further includes grouping of radiant energy interaction characteristics, and where said groupings relate to actual components within said target.

7. The method of claim 1 wherein said attribute of said target may be any of:

a target component of interest;

an image of said target;

statistical characteristics of said target.

8. The method of claim 7 wherein said target component of interest is an analyte of interest.

9. The method of claim 8 wherein said analyte of interest is glucose concentration.

10. The method as in claim 7 where at least one known property of said target is included in said target model, such that output communicating relative changes in interaction of radiant energy and said target may be associated with said attribute of said target.

11. The method as in claim 7 wherein said attribute of interest is an image of said target, and wherein said processing further including the sub step of generating a three dimensional model of the interaction of radiant energy with said target, said three dimensional model representing a complete description of said target, and wherefrom an image may be generated.

12. The method as in claim 11, further including the step of generating an image from said three-dimensional model of the interaction of radiant energy with said target, where the output is an adjustable display enabling selection of desired image and desired position of image.

13. The method as in claim 7 wherein said attribute to be determined is an obtained statistical distribution, such that said obtained statistical distribution is compared with a reference statistical distribution.

14. The method of claim 1, wherein said system model further includes a noise model.

15. The method as in claim 1, wherein the step of processing said actual signal and said theoretical signal includes estimation techniques to determine said attribute.

16. The method as in claim 15, where the attribute of interest is an analyte, and said analyte is glucose concentration.

17. A non-invasive analysis system comprising:

an actual analysis system, said actual analysis system outputting at least one actual signal, where said actual signal contains information obtained from a target of interest;

a processor, said processor including memory and capable of processing digital signals, and wherein said memory contains a system model, where said system model outputs at least one theoretical signal and where said system model includes;

said actual system characteristics;

a target model, said target model providing a representation of said target, said representation describing said target as at least a one dimensional model of the interaction of radiant energy and said target;

and where said processor compares said actual signal and said theoretical signal, and where said processor generates an output, where said output pertains to an attribute of interest of said target of interest.

18. The system as in claim 17 wherein said actual analysis system performs a segmented scan, and where said processor generates a complete profile of said target using information from said segmented scan.

19. The system of claim 17, wherein said processor selects from said system model a target model with the target characteristics that match the actual signal.

20. The system of claim 17, wherein said processor provides feedback to the system model of the comparison of said actual signal and said theoretical signal, enabling iterations of the system model, theoretical signal and actual signal processing.

21. The system of claim 17, wherein said target may include any of the following:

tissue;

tissue fluid;

interstitial fluid;

blood;

eye;

lens;

cornea;

retina.

22. The system of claim 17 wherein said target model further includes grouping of radiant energy interaction characteristics, and where said groupings relate to actual components within said target.

23. The system of claim 17 wherein said attribute of interest may include any of:

a target component of interest;

an image of said target;

statistical characteristics of said target.

24. The system of claim 23 wherein said target component of interest is an analyte of interest.

25. The system of claim 24 wherein said analyte of interest is glucose concentration.

26. The system as in claim 23 where said target model includes at least one known property of said target, such that output communicating relative changes in interaction of radiant energy and said target may be associated with said attribute of said target.

27. The system as in claim 23 wherein said attribute of interest is an image of said target, said image generated from a three dimensional model of the interaction of radiant energy with said target, said three dimensional model representing a complete description of said target.

28. The system as in claim 24, wherein said image generated from said three dimensional model of the interaction of radiant energy with said target is output, said output providing an adjustable display enabling selection of desired image and desired position of image.

29. The system as in claim 28 wherein said attribute to be determined is an obtained statistical distribution, such that said obtained statistical distribution is compared with a reference statistical distribution.

30. The system as in claim 17, wherein said system model further includes a noise model.

31. The system as in claim 17, wherein said processor employs estimation techniques to determine said attribute.

32. The system as in claim 31, where the attribute of interest is an analyte, and said analyte is glucose concentration.