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

US9668679B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9668679-B2
Application numberUS-201514737242-A
CountryUS
Kind codeB2
Filing dateJun 11, 2015
Priority dateAug 11, 2004
Publication dateJun 6, 2017
Grant dateJun 6, 2017

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  5. First independent claim

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Abstract

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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.

First claim

Opening claim text (preview).

What is claimed is: 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; 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. 2. The system of claim 1 , 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. 3. The system of claim 1 , 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. 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 comprise a glucose level. 6. 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; identifying at least one discontinuity in data associated with the at least two OCT scans; selecting one or more portions of the at least two OCT scans corresponding to the at least one discontinuity; 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 method of claim 6 , wherein identifying the at least one discontinuity comprises: generating a second derivative plot from the at least two OCT scans; and identifying the at least one discontinuity based on the second derivative plot. 8. The method of claim 6 , wherein the at least one discontinuity correlates with a location of a tissue interface transition. 9. The method of claim 6 , wherein the at least one discontinuity corresponds to changes in blood analyte levels. 10. The method 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. 11. The method of claim 6 , wherein blood analyte level comprise a glucose level. 12. 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; generating a Pearson plot to indicate correlations between a plurality of OCT measurements at a plurality of portions and depths of the at least two OCT scans; and determining a first depth based on the Pearson plot; selecting one or more portions of the at least two OCT scans corresponding to the first depth; 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. 13. The method of claim 12 , 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. 14. The method of claim 12 , wherein blood analyte level comprise a glucose level.

Assignees

Inventors

Classifications

  • Optical coherence imaging · CPC title

  • Artificial waveform generation or derivation, e.g. synthesizing signals from measured signals · CPC title

  • for measuring glucose, e.g. by tissue impedance measurement · CPC title

  • A61B5/1455Primary

    using optical sensors, e.g. spectral photometrical oximeters · CPC title

  • of calibration, e.g. protocols for calibrating sensors · CPC title

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What does patent US9668679B2 cover?
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 b…
Who is the assignee on this patent?
Masimo Corp
What technology area does this patent fall under?
Primary CPC classification A61B5/14532. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 06 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 10 related publications on this page (citations in our corpus or others sharing the same primary CPC).