NONINVASIVE METHOD FOR ESTIMATING GLUCOSE BLOOD CONSTITUENTS

• US 20170181670A1
• Filed: 03/16/2017
• Published: 06/29/2017
• Est. Priority Date: 01/14/2014
• Status: Active Grant

• Current Assignee: Analytics For Life
• Original Assignee: Analytics For Life
• Inventors: Gupta, Sunny, Burton, Timothy, Howe-Patterson, Matthew
• Granted Patent: US 10,765,350 B2
• Time in Patent Office: Days
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/14546 for measuring analytes not otherwise provided for, e.g. ions, cytochromes
• CPC Class Codes: A61B 5/1455 using optical sensors, e.g. spectral photometrical oximeters
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity

Abstract

A light-based method and technique for measuring the static and average plasma glucose concentration over a prolonged period of time. More specifically, the disclosure relates to a method that utilizes mathematical analysis of appendage mobile LED flash IR light transmittance, absorption and scattering by using high resolution mobile camera data to estimate the concentration of glucose and glycated hemoglobin (HbA1c) in millimoles per liter (mmol/L).

Claims

1. A method of performing blood constituent analysis, comprising:

receiving a series of captured images that contain a digital signature of absorbed, transmitted and scattered light from a soft tissue appendage;

determining a power spectral density (PSD) time series data from the digital signature;

performing one of a model-based analysis to transform the PSD time series data to a noiseless model or a signal density-based analysis to segregate a signal associated with the PSD time series data into subspaces which are quantified;

using a genetic algorithm to estimate a level of blood constituent from the noiseless model or the quantified subspaces; and

communicating the level of blood constituent in a format suitable for display.

2. The method of claim 1, further comprising:

converting the PSD time series data to CMOS sectors; and

placing the CMOS sectors into a scatter matrix, an absorption matrix, and a transmittance matrix to perform CMOS correction.

3. The method of claim 1, wherein the model-based analysis and the signal density-based analysis use a modified matching pursuit (MMP) algorithm.

4. The method of claim 1, further comprising:

determining Red-Green-Blue (RGB) values from the PSD time series data in accordance with the relationships;

5. The method of claim 1, further comprising:

recording changes in the level of blood constituent over time; and

providing an indication of a pathological state of a subject based at least in part upon the blood constituent level changes.

6. A system for performing light-based tissue perfusion blood constituent analysis, comprising:

a capture device that captures a series of images that contain a digital signature of absorbed, transmitted and scattered light from a soft tissue appendage;

a processor that;

receives the series of images and determines power spectral density (PSD) time series data from the digital signature;

performs one of a model-based analysis to transform the PSD time series data to a noiseless model or a signal density-based analysis to segregate a signal associated with the PSD time series data into quantified subspaces; and

uses a genetic algorithm to estimate a level of blood constituent from the noiseless model or the quantified subspaces; and

a display that displays the level of blood constituent.

7. The system of claim 6, wherein the processor converts the PSD time series data to CMOS sectors, and places the CMOS sectors into a scatter matrix, an absorption matrix, and a transmittance matrix.

8. The system of claim 6, wherein the capture device includes a light source that is disposed adjacent to an objective lens of the capture device, the light source transmitting a plurality of wavelengths to enhance the absorption, scattering and transmittance pattern of a blood constituent of interest.

9. The system of claim 6, wherein capturing the digital signature of absorbed, transmitted and scattered light is performed using a series of CMOS images collected at 15 to 120 frames per second.

10. The system of claim 6, wherein the processing unit further:

determines Red-Green-Blue (RGB) values from the PSD time series data in accordance with the relationships;

11. The system of claim 6, wherein changes in the level of blood constituent are recorded over time, and wherein an indication of a pathological state of a subject based is provided at least in part upon the blood constituent level changes.

12. A method for estimating blood constituent analysis, comprising:

capturing a series of images using a mobile device having a camera that includes a digital signature of absorbed, transmitted and scattered light from a soft tissue appendage;

obtaining a power spectral density (PSD) time series data from the series of images;

performing one of a model-based analysis to transform the PSD time series data to a noiseless model or a signal density-based analysis to segregate a signal associated with the PSD time series data into quantified subspaces;

using a genetic algorithm to estimate a level of blood constituent from the noiseless model or the quantified subspaces; and

presenting the level of blood constituent in a display of the mobile device.

13. The method of claim 12, further comprising:

converting the PSD time series data to CMOS sectors; and

placing the CMOS sectors into a scatter matrix, an absorption matrix, and a transmittance matrix to perform CMOS correction.

14. The method of claim 12, further comprising illuminating the soft tissue appendage using a light source that is disposed adjacent to an objective lens of the camera, the light source transmitting a plurality of wavelengths to enhance the absorption, scattering and transmittance pattern of a blood constituent of interest.

15. The method of claim 14, wherein the light source is an LED or a laser diode.

16. The method of claim 12, wherein the model-based analysis and the signal density-based analysis use a modified matching pursuit (MMP) algorithm.

17. The method of claim 12, further comprising capturing the digital signature of absorbed, transmitted and scattered light using a series of CMOS images collected at 15 to 120 frames per second.

18. The method of claim 12, further comprising:

determining Red-Green-Blue (RGB) values from the PSD time series data in accordance with the relationships;

19. The method of claim 12, further comprising:

recording changes in the level of blood constituent over time; and

providing an indication of a pathological state of a subject based at least in part upon the blood constituent level changes.

20. A device, comprising:

a memory that stores computer readable instructions;

a camera that includes a complementary metal-oxide semiconductor (CMOS) sensor; and

one or more processors coupled to the memory, the one or more processors executing the computer-readable instructions to;

capture a series of images using mobile device having the camera having a digital signature of absorbed, transmitted and scattered light from a soft tissue appendage;

obtain power spectral density (PSD) time series data from the series of images;

perform one of a model-based analysis to transform the PSD time series data to a noiseless model or a signal density-based analysis to segregate a signal associated with the PSD time series data into quantified subspaces;

use a genetic algorithm to estimate a level of blood constituent from the noiseless model or the quantified subspaces; and

present the level of blood constituent in a display of the device.

21. The device of claim 20, wherein the device further comprises a light source that is disposed adjacent to an objective lens of the camera, the light source transmitting a plurality of wavelengths to enhance the absorption, scattering and transmittance pattern of a blood constituent of interest.

22. The device of claim 20, wherein the digital signature of absorbed, transmitted and scattered light using digital video made up of a series CMOS images collected at 15 to 120 frames per second.

23. The device of claim 20, wherein the one or more processors determine Red-Green-Blue (RGB) values from the PSD time series data in accordance with the relationships:

24. The device of claim 20, wherein the device records changes in the level of blood constituent over time, and wherein the device provides an indication of a pathological state of a subject based at least in part upon the blood constituent level changes.

25. The device of claim 20, wherein the device is a smartphone.