SYSTEM AND METHOD FOR MONITORING BLOOD GLUCOSE LEVELS NON-INVASIVELY

• US 20120059237A1
• Filed: 05/04/2010
• Published: 03/08/2012
• Est. Priority Date: 05/04/2009
• Status: Abandoned Application

• Current Assignee: Amir Ben-Shalom, Gusti Aberbuch, Itai Arad, Jack Amir, Tsahi Asher
• Original Assignee: Amir Ben-Shalom, Gusti Aberbuch, Itai Arad, Jack Amir, Tsahi Asher
• Inventors: Amir, Jack, Arad, Itai, Ben Shalom, Amir, Aberbuch, Gusti, Asher, Tsahi
• Application Number:
  US13/318,611
• Publication Number:
  US 20120059237A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: A61B 2562/0233 Special features of optical sensors or probes classified in A61B5/00
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/0285 Measuring or recording phase velocity of blood waves
• 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 5/681 Wristwatch-type devices

Abstract

A system and method is described for non-invasive monitoring of blood glucose levels. The system includes a pulse-sensor unit configured to detect a pulse wave travelling through a blood vessel and a processor unit configured to determine pulse wave velocity, to calculate the blood density and so to determine blood glucose level. Various embodiments include pulse-sensor arrays and wearable units configured to communicate with insulin pumps worn about the person of the subject.

Claims

1-28. -28. (canceled)

29. A system for non-invasive monitoring of blood glucose levels, the system comprising:

at least one pulse-sensor unit configured to detect a pulse wave travelling through a blood vessel and a processor unit configured to receive input from said at least one pulse-sensor unit, to determine pulse wave velocity and to calculate the blood glucose level wherein said pulse-sensor unit comprises at least two sensors separated by a known spacing distance.

30. The system of claim 29 wherein said pulse-sensor unit comprises at least one array of sensors and each sensor of said array is configured to collect a set of pressure samples detected at short time intervals δ

t.

31. The system of claim 29 wherein said processor is configured to select a first set of pressure samples from a first sensor and a second set of pressure samples from a second sensor.

32. The system of claim 31 where said processor is further configured to measure the degree of correlation between said first set of pressure samples to said second set of pressure samples at a plurality of time shifts τ

.

33. The system of claim 32 wherein said processor is further configured to select a time shift τ

_opt with highest degree of correlation and the pulse wave velocity is determined by dividing distance between said first sensor and said second sensor by the optimal time shift τ

_opt.

34. The system of claim 29 wherein said pulse-sensor unit comprises at least one piezoelectric element.

35. The system of claim 34 wherein said at least one piezoelectric element is configured to detect vibrations indicating a pulse wave passing through said blood vessel.

36. The system of claim 29 comprising at least one auxiliary sensor.

37. The system of claim 29 comprising at least one auxiliary sensor configured to monitor said subject.

38. The system of claim 29 comprising at least one auxiliary sensor configured to monitor internal parameters of the system.

39. The system of claim 29 comprising at least one auxiliary sensor comprising an oximeter.

40. The system of claim 29 comprising at least one auxiliary sensor comprising a sensor-temperature monitor configured to monitor operating temperature of at least one pulse-sensor.

41. The system of claim 29 wherein said processor is configured to adjust a blood glucose level calculation according to input from at least one auxiliary sensor.

42. The system of claim 29 incorporated into a stand-alone unit.

43. The system of claim 29 comprising a satellite unit in communication with a base unit.

44. The system of claim 29 comprising a comfortable wearable unit.

45. The system of claim 29 wherein said pulse-sensing unit is incorporated into a wristband.

46. The system of claim 29 further comprising at least one output unit.

47. The system of claim 46 wherein said output unit is selected from a group consisting of:

display screens, computer memory units, data transmitters, data bases, hard discs, flash memory devices, SD cards and USB ports.

48. The system of claim 29 further comprising an insulin pump configured to administer at least one dose of insulin to said subject wherein said processor is further configured to calculate the parameters of said dose.

49. The system of claim 48 wherein said parameters are selected from size, shape and frequency.

50. A method for monitoring blood glucose levels comprising the steps:

producing a calibration curve by measuring pulse wave velocity in blood in a plurality of samples of blood having different glucose levels;

measuring the pulse wave velocity in a blood vessel, and

comparing the measured pulse wave velocity of said subject with said calibration curve thereby determining the blood glucose level in said subject.

51. The method of claim 50 wherein said measuring the pulse wave velocity in a blood vessel comprises:

providing at least two sensors;

collecting a set of pressure samples detected at short time intervals δ

t;

selecting a first set of pressure samples from a first sensor and a second set of pressure samples from a second sensor;

measuring the degree of correlation between said first set of pressure samples to said second set of pressure samples at a plurality of time shifts τ

;

selecting a time shift τ

_opt with highest degree of correlation;

determining inter-sensor spacing between said first sensor and said second sensor; and

dividing the inter-sensor spacing by the optimal time shift τ

_opt.

52. A method for measuring the pulse wave velocity comprising:

providing at least two sensors;

collecting a set of pressure samples detected at short time intervals δ

t;

selecting a first set of pressure samples from a first sensor and a second set of pressure samples from a second sensor;

measuring the degree of correlation between said first set of pressure samples to said second set of pressure samples at a plurality of time shifts τ

;

selecting the time shift τ

_opt with highest degree of correlation;

determining inter-sensor spacing between said first sensor and said second sensor; and

dividing the inter-sensor spacing by the optimal time shift τ

_opt.