Non-Invasive Glucose Monitoring

• US 20090240440A1
• Filed: 10/18/2006
• Published: 09/24/2009
• Est. Priority Date: 10/20/2005
• Status: Abandoned Application

• Current Assignee: BIG Glucose, Ltd.
• Original Assignee: BIG Glucose, Ltd.
• Inventors: Kan-Tor, Tsvi, Shurabura, Alex, Barkan, Alexander, Peled, Eitan
• Application Number:
  US12/083,308
• Publication Number:
  US 20090240440A1
• Time in Patent Office: Days
• US Class Current: 702/19
• CPC Class Codes: A61B 5/053 Measuring electrical impedance or conductance of a portion of the body
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/726 using Wavelet transforms

Abstract

A monitoring system for monitoring the glucose level of a subject having a glucose level history is disclosed. The system comprises (a) a non-invasive measuring device, operable to measure and record an electrical quantity from a section of the subject body, so as to provide a time-dependence of the electrical quantity over a predetermined time-period. The system further comprises (b) a processing unit, communicating with the non-invasive measuring device. The processing unit comprises: an extractor, for extracting a plurality of parameters characterizing the time-dependence, a correlation function calculator for calculate a subject-specific correlation function, and an output unit, communicating with the correlation function calculator and configured to output the glucose level of the subject. The subject-specific correlation function describes the glucose level history and is defined over a plurality of variables, each corresponding to a different parameter.

Claims

1. A method of determining a subject-specific correlation function correlating an electrical quantity characterizing a section of a subject body to a glucose level of the subject, the method comprising:

non-invasively measuring the electrical quantity, so as to provide a time-dependence of said electrical quantity over a predetermined time-period;

measuring the glucose level of the subject a plurality of times, thereby providing a series of glucose levels;

using said time-dependence for extracting a plurality of parameters characterizing said time-dependence, wherein said plurality of parameters comprises at least four parameters; and

performing a statistical analysis so as to correlate said series of glucose levels to at least one of said plurality of parameters;

thereby determining the subject-specific correlation function.

2. The method of claim 1, wherein said subject-specific correlation function is defined over a plurality of variables, each variable of said plurality of variables corresponding to a different parameter of said plurality of parameters.

3. The method of claim 2, wherein said plurality of variables are respectively weighted by a plurality of subject-specific coefficients.

4. The method of claim 2, wherein at least one variable of said plurality of variables is powered by a subject-specific power.

35. The method of claim 1, wherein said predetermined time-period is correlated to a heart rate of the subject.

36. The method of claim 35, wherein said predetermined time-period equals at least a heart beat cycle of the subject.

37. The method of claim 35, wherein said predetermined time-period equals an integer number of heart beat cycles of the subject.

42. The method of claim 1, wherein at least one of said plurality of parameters comprises a value of said electrical quantity at a transition point on said time-dependence.

43. The method of claim 1, wherein at least one of said plurality of parameters comprises a ratio between two values of said electrical quantity, said two values corresponding to different transition points on said time-dependence.

44. The method of claim 1, wherein at least one of said plurality of parameters comprises a difference between two values of said electrical quantity, said two values corresponding to different transition points on said time-dependence.

46. The method of claim 1, wherein at least one of said plurality of parameters comprises a time-interval corresponding to a transition point on said time-dependence.

47. The method of claim 1, wherein at least one of said plurality of parameters comprises a time-derivative of said time-dependence.

48. The method of claim 1, wherein at least one of said plurality of parameters comprises an average time-derivative of at least a segment of said time-dependence.

49. The method of claim 1, wherein at least one of said plurality of parameters comprises a slope along a segment of said time-dependence.

5. A method of estimating the glucose level of a subject having a glucose level history, the method comprising calculating a subject-specific correlation function describing the glucose level history, and using said subject-specific correlation function for estimating the glucose level of the subject;

said subject-specific correlation function being defined over a plurality of variables, each corresponding to a different parameter characterizing a time-dependence of an electrical quantity over a predetermined time period being correlated to a heart rate of the subject.

6. A method of monitoring the glucose level of a subject having a glucose level history, comprising:

non-invasively measuring an electrical quantity from a section of the subject body so as to provide a time-dependence of said electrical quantity over a predetermined time-period being correlated to a heart rate of the subject;

using said time-dependence for extracting a plurality of parameters characterizing said time-dependence;

calculating a subject-specific correlation function describing the glucose level history, said subject-specific correlation function being defined over a plurality of variables, each corresponding to a different parameter of said plurality of parameters; and

using said subject-specific correlation function for estimating the glucose level of the subject;

thereby monitoring the glucose level of the subject.

7. The method of claim 6, wherein said plurality of variables are respectively weighted by a plurality of subject-specific coefficients.

8. The method of claim 7, wherein at least one variable of said plurality of variables is powered by a subject-specific power.

9. The method of claim 6, further comprising testing the accuracy of said subject-specific correlation function according to a predetermined accuracy criterion, and, if said predetermined accuracy criterion is not satisfied then updating said subject-specific correlation function.

10. The method of claim 6, further comprising updating said subject-specific correlation function at least once.

11-14. -14. (canceled)

15. A system for determining a subject-specific correlation function correlating an electrical quantity characterizing a section of a subject body to a glucose level of the subject, the system comprising:

(a) a glucose level input unit configured for receiving a series of glucose levels;

(b) a non-invasive measuring device operable to measure and record the electrical quantity, so as to provide a time-dependence of said electrical quantity over a predetermined time-period; and

(c) a processing unit communicating with said non-invasive measuring device, and comprising;

(i) an extractor, communicating with said non-invasive measuring device and being operable to extract a plurality of parameters characterizing said time-dependence, wherein said plurality of parameters comprises at least four parameters; and

(ii) a correlating unit, communicating with said extractor and being supplemented with statistical analysis software configured to correlate said series of glucose levels to at least one of said plurality of parameters, thereby to determine the subject-specific correlation function.

16. Apparatus for estimating the glucose level of a subject having a glucose level history, the apparatus comprising:

a correlation function calculator, operable to calculate a subject-specific correlation function describing the glucose level history, and to estimate the glucose level of the subject based on said subject-specific correlation function, wherein said subject-specific correlation function is defined over a plurality of variables, each corresponding to a different parameter characterizing a time-dependence of an electrical quantity over a predetermined time period being correlated to a heart rate of the subject; and

an output unit, communicating with said correlation function calculator and configured to output the glucose level of the subject.

17. A monitoring system for monitoring the glucose level of a subject having a glucose level history, the system comprising:

(a) a non-invasive measuring device operable to measure and record an electrical quantity from a section of the subject body, so as to provide a time-dependence of said electrical quantity over a predetermined time-period being correlated to a heart rate of the subject; and

(b) a processing unit, communicating with said non-invasive measuring device and comprising;

(i) an extractor operable to extract a plurality of parameters characterizing said time-dependence,

(ii) a correlation function calculator operable to calculate a subject-specific correlation function describing the glucose level history and to estimate the glucose level of the subject based on said subject-specific correlation function, wherein said subject-specific correlation function is defined over a plurality of variables, each corresponding to a different parameter of said plurality of parameters, and

(iii) an output unit, communicating with said correlation function calculator and configured to output the glucose level of the subject.

21. The system of claim 17, further comprising an updating unit designed and configured for updating said subject-specific correlation function at least once.

18-20. -20. (canceled)

22-34. -34. (canceled)

38-41. -41. (canceled)

45. (canceled)

50-52. -52. (canceled)