IP Library Granted Patent US 10,791,971
Granted Patent B2
US 10,791,971 · App. 16/151,917 · Granted Oct 6, 2020

Method for data reduction and calibration of an OCT-based physiological monitor

Inventors: Matthew J. Schurman (Richboro, PA); Walter J. Shakespeare (Macungie, PA); William Henry Bennett (Bethlehem, PA)
Assignee: Masimo Corporation
A61B5/1455A61B5/0066A61B5/14532A61B5/1545A61B5/441A61B5/72A61B5/7246A61B5/7278A61B2560/0223
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Quick Facts
Patent No.
US 10,791,971
App. No.
16/151,917
Granted
Oct 6, 2020
Kind
B2
Abstract

The present invention relates to a method and system for estimating blood analyte levels using a noninvasive optical coherence tomography (OCT) based physiological monitor. An algorithm correlates OCT-based estimated blood analyte data with actual blood analyte data determined by other methods, such as invasively. OCT-based data is fit to the obtained blood analyte measurements to achieve the best correlation. Once the algorithm has generated sets of estimated blood analyte levels, it may refine the number of sets by applying one or more mathematical filters. The OCT-based physiological monitor can be calibrated using an Intensity Difference plot or the Pearson Product Moment Correlation method.

Claims (39)

1. A method of estimating a blood analyte level using an optical coherence tomography (OCT) device, the method comprising:

receiving, from an OCT device, at least two OCT scans of an area of biological tissue along a depth dimension, the at least two OCT scans obtained at different times;

computing intensity differences between the at least two OCT scans to generate an intensity difference plot;

determining a portion of the intensity difference plot associated with at least a zero crossing and corresponding localized extrema;

selecting, based on the determined portion of the intensity difference plot, one or more portions of the at least two OCT scans; and

estimating a blood analyte level based on a comparison of the one or more portions of the at least two OCT scans with OCT calibration data.

2. The method of claim 1 , wherein the portion of the intensity difference plot correlates with blood vessels.

3. The method of claim 1 , wherein the portion of the intensity difference plot correlates with blood analyte level changes.

4. The method of claim 1 , wherein the OCT calibration data is generated based on correlations among previous OCT scans and blood analyte measurements obtained independently from the previous OCT scans.

5. The method of claim 1 , wherein blood analyte level comprises a glucose level.

6. Non-transitory computer-readable storage having stored thereon instructions that, when executed, direct a computing system to perform operations comprising:

receiving, from an OCT device, at least two OCT scans of an area of biological tissue along a depth dimension, the at least two OCT scans obtained at different times;

computing intensity differences between the at least two OCT scans to generate an intensity difference plot;

determining a portion of the intensity difference plot associated with at least a zero crossing and corresponding localized extrema;

selecting, based on the determined portion of the intensity difference plot, one or more portions of the at least two OCT scans; and

estimating a blood analyte level based on a comparison of the one or more portions of the at least two OCT scans with OCT calibration data.

7. The non-transitory computer-readable storage of claim 6 , wherein the portion of the intensity difference plot correlates with blood vessels.

8. The non-transitory computer-readable storage of claim 6 , wherein the portion of the intensity difference plot correlates with blood analyte level changes.

9. The non-transitory computer-readable storage of claim 6 , wherein the OCT calibration data is generated based on correlations among previous OCT scans and blood analyte measurements obtained independently from the previous OCT scans.

10. The non-transitory computer-readable storage of claim 6 , wherein the blood analyte level comprises a glucose level.

11. A system for estimating a blood analyte level using an optical coherence tomography (OCT) device, the system comprising:

a processor configured to:

receive, from an OCT device, at least two OCT scans of an area of biological tissue along a depth dimension, the at least two OCT scans obtained at different times;

compute intensity differences between the at least two OCT scans to generate an intensity difference plot;

select, based on one or more portions of the intensity difference plot having large changes in intensity, corresponding one or more portions of the at least two OCT scans having large changes in intensity; and

estimate a blood analyte level based on a comparison of the one or more portions of the at least two OCT scans with OCT calibration data.

12. The system of claim 11 , wherein selecting the corresponding one or more portions of the at least two OCT scans comprises identifying regions of the intensity difference plot where the large changes in intensity correlate with blood vessels.

13. The system of claim 11 , wherein selecting the corresponding one or more portions of the at least two OCT scans comprises identifying regions of the intensity difference plot where the large changes in intensity correlate with blood analyte level changes.

14. The system of claim 11 , wherein the OCT calibration data is generated based on correlations among previous OCT scans and blood analyte measurements obtained independently from the previous OCT scans.

15. The system of claim 11 , wherein the blood analyte level comprises a glucose level.

16. Non-transitory computer-readable storage having stored thereon instructions that, when executed, direct a computing system to perform operations comprising:

receiving, from an OCT device, at least two OCT scans of an area of biological tissue along a depth dimension, the at least two OCT scans obtained at different times;

computing intensity differences between the at least two OCT scans to generate an intensity difference plot;

selecting, based on one or more portions of the intensity difference plot having large changes in intensity, corresponding one or more portions of the at least two OCT scans having large changes in intensity; and

estimating a blood analyte level based on a comparison of the one or more portions of the at least two OCT scans with OCT calibration data.

17. The non-transitory computer-readable storage of claim 16 , wherein selecting the corresponding one or more portions of the at least two OCT scans comprises identifying regions of the intensity difference plot where the large changes in intensity correlate with blood vessels.

18. The non-transitory computer-readable storage of claim 16 , wherein selecting the corresponding one or more portions of the at least two OCT scans comprises identifying regions of the intensity difference plot where the large changes in intensity correlate with blood analyte level changes.

19. The non-transitory computer-readable storage of claim 16 , wherein the OCT calibration data is generated based on correlations among previous OCT scans and blood analyte measurements obtained independently from the previous OCT scans.

20. The non-transitory computer-readable storage of claim 16 , wherein the blood analyte level comprises a glucose level.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2019
From: SCHURMAN, MATTHEW J.; SHAKESPEARE, WALTER J.; BENNETT, WILLIAM HENRY
To: GLUCOLIGHT CORPORATION
Reel/Frame 049923/0028 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2019
From: GLUCOLIGHT CORPORATION
To: GLT ACQUISITION CORP.
Reel/Frame 049923/0080 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 31, 2019
From: GLT ACQUISITION CORPORATION
To: MASIMO CORPORATION
Reel/Frame 049923/0103 →
Continuity (9)
Continuation 15605460 · May 25, 2017
Continuation 14737242 · Jun 11, 2015
Continuation 13668013 · Nov 2, 2012
Continuation 12888318 · Sep 22, 2010
Continuation 11403635 · Apr 13, 2006
Continuation In Part 10916236 · Aug 11, 2004
Provisional Application 60671285 · Apr 14, 2005
Provisional Application 60671007 · Apr 13, 2005
Related Publication 20190029574A1 · Jan 31, 2019