Analyte sensor and method of using the same

• US 20080139910A1
• Filed: 12/06/2006
• Published: 06/12/2008
• Est. Priority Date: 12/06/2006
• Status: Abandoned Application

• Current Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Original Assignee: Metronic Minimed Incorporated
• Inventors: Ray, Partha, Patel, Nandita, Shah, Rajiv, Talbot, Cary D., Reghabi, Bahar, Mastrototaro, John J., Long, Kenny J., Hayes, Andrew C.
• Application Number:
  US11/634,728
• Publication Number:
  US 20080139910A1
• Time in Patent Office: Days
• US Class Current: 600/365
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 40/63 for local operation

Abstract

An analyte sensor and systems for determining analyte levels in a user'"'"'s body. The analyte sensor and systems are adapted to be used with single dose medication devices and include a communication system to transmit the communications from the analyte sensor to the user to notify the user of an estimated amount of fluid to deliver to the user'"'"'s body. More particularly, these apparatuses and methods for use are for providing convenient monitoring of blood glucose levels in determining the appropriate amount of insulin to deliver.

Claims

1. A method of diabetes management, comprising the steps of:

receiving a plurality of readings over time from an analyte sensor;

processing each of the readings to generate analyte data;

receiving information about external factors;

using the analyte data to estimate a bolus amount of medication to be dispensed from a single dose medication device based on the analyte data in combination with the external factors; and

displaying an instruction to deliver the bolus amount.

2. The method of claim 1, wherein the displaying step is performed by a monitor.

3. The method of claim 2, wherein the monitor is coupled to the analyte sensor.

4. The method of claim 2, wherein the monitor is coupled to the single dose medication device.

5. The method of claim 1, wherein the external factors are selected from the group consisting of meal consumption, exercise, medication intake, time lapse from last bolus dispensed, type of medication device used and user sensitivity.

6. The method of claim 1, wherein the analyte sensor is subcutaneous.

7. The method of claim 1, wherein the analyte sensor is a blood glucose sensor.

8. The method of claim 1, wherein the medication is insulin.

9. The method of claim 1, wherein the plurality of readings is received on a periodic basis.

10. The method of claim 1, wherein the plurality of readings is received on an automatic basis.

11. The method of claim 1, wherein the plurality of readings is received in response to user request.

12. The method of claim 1 further including the step of using the analyte data in combination with the external factors to provide intelligent therapy to a user.

13. The method of claim 12, wherein the intelligent therapy comprises a recommendation of medication dosage amount and medication dosage timing based on an analysis of user history.

14. The method of claim 12, wherein the intelligent therapy comprises a recommendation of food type and food amount to consume based on an analysis of user history.

15. The method of claim 1 further including the step of automatically tracking amounts of diabetes supplies used.

16. The method of claim 15 further including the step of warning a user when diabetes supplies are low.

17. The method of claim 15 further including the step of automatically reordering diabetes supplies when the diabetes supplies are low, the reordering being sent by wireless communication to a predetermined source.

18. The method of claim 15, wherein the diabetes supplies are selected from the group consisting of lancets, insulin and insulin syringes.

19. The method of claim 1, wherein the step of receiving a plurality of readings over time from the analyte sensor further comprises:

obtaining at least two readings for each of the plurality of readings; and

calculating an average of the at least two readings.

20. A method of diabetes management, comprising the steps of:

sensing continuously an analyte level of an user;

obtaining a plurality of readings over time from the sensed analyte level;

processing each of the readings to generate analyte data;

receiving information about external factors;

transmitting a first communication, including the analyte data and the external factors, to a predetermined receiver;

using the first communication to estimate a bolus amount of medication to be dispensed from a single dose medication device based on the analyte data in combination with the external factors; and

displaying an instruction to deliver the bolus amount.

21. The method of claim 20, further including transmitting a second communication, including the bolus amount, to a single dose medication device to display to a user.

22. The method of claim 20, wherein the external factors are selected from the group consisting of meal consumption, exercise, medication intake, time lapse from last bolus dispensed, type of medication device used and user sensitivity.

23. The method of claim 20, wherein the analyte sensor is subcutaneous.

24. The method of claim 20, wherein the analyte sensor is a blood glucose sensor.

25. The method of claim 20, wherein the medication is insulin.

26. A sensor device for producing data indicative of an analyte level of a user, the sensor device comprising:

a sensor adapted to measure an analyte level of a user;

sensor electronics coupled to the sensor for receiving the measured analyte level and processing the measured analyte level to generate analyte data;

a bolus estimator adapted to receive the analyte data from the sensor electronics to estimate a bolus amount of medication to be dispensed from a single dose medication device based upon the analyte data in combination with external factors; and

a monitor coupled to the bolus estimator to display a user interface, the monitor having one or more inputs adapted for use to enter and receive information about the external factors, and wherein the user interface displays the estimated bolus amount.

27. The sensor device of claim 26, wherein the sensing device is adapted to continuously sense the analyte level of the user.

28. The sensor device of claim 26, wherein the sensor is subcutaneous.

29. The sensor device of claim 26 further including an indication device, providing at least one indication wherein the indication is selected from the group consisting of a visual indication, an audible indication and a tactile indication, to indicate that the bolus amount to be dispensed has been calculated.

30. The sensor device of claim 26, wherein the single dose medication device is selected from the group consisting of an inhaler, a jet injector, an injection pen, and a syringe.

31. The sensor device of claim 26, wherein the single dose medication device is disposable.

32. The sensor device of claim 26, wherein the one or more inputs are selected from the group consisting of buttons, keys, tabs, push pads, touch screens and turn dials.

33. The sensor device of claim 26 further including a transmitter device coupled to the bolus estimator, the transmitter device adapted to wirelessly transmit the bolus amount to the single dose medication device.

34. The sensor device of claim 33 further including an antenna attached to the transmitter device for increasing reception.

35. The sensor device of claim 33, wherein the wireless transmission is selected from the group consisting of radio frequency, infrared, WiFi, ZigBee and Bluetooth.

36. The sensor device of claim 33, wherein the wireless transmission is selected from single frequency communication, spread spectrum communication, Listen Before Talk (LBT) and frequency hopping communication.

37. The sensor device of claim 33, wherein the transmitter device is adapted to transmit a communication to data management software.

38. The sensor device of claim 26, wherein the external factors are selected from a group consisting of meal consumption, exercise, medication intake, time lapse from last bolus dispensed, type of medication device used and user sensitivity.

39. The sensor device of claim 26, wherein the analyte level being measured is blood glucose level.

40. The sensor device of claim 39, wherein the sensor is adapted to measure the blood glucose level after the blood glucose level is stabilized.

41. The sensor device of claim 26, wherein the medication is insulin.

42. The sensor device of claim 26, wherein the user interface is adapted to present data in graphical depictions.

43. The sensor device of claim 42, wherein the graphical depiction is selected from the group consisting of a graph, a chart, a extrapolation, a pie chart, and a table.

44. The sensor device of claim 42, wherein the user interface is adapted to enter a demonstrative mode that is user interactive.

45. The sensor device of claim 26 further including a pedometer coupled to the bolus estimator, the pedometer being adapted to track the user'"'"'s exercise and being used in conjunction with the bolus estimator to calculate the bolus amount.

46. The sensor device of claim 26 being adapted to prompt the user to report events when significant changes in the analyte level are sensed.

47. The sensor device of claim 46, wherein the events are selected from the group consisting of meal consumption, exercise, medication intake and type of medication device used.

48. The sensor device of claim 46 being adapted to calculate user sensitivity based on the reported events.

49. The sensor device of claim 48 being adapted to factor user sensitivity into the estimation of the bolus amount.

50. The sensor device of claim 26 further including at least one alarm wherein the alarm is selected from the group consisting of a visual alarm, an audible alarm and a tactile alarm.

51. The sensor device of claim 50, wherein the alarm is adapted to activate when the analyte level of the user meets a predetermined threshold.

52. The sensor device of claim 50, wherein the alarm is adapted to activate when a specific bolus amount is required.

53. The sensor device of claim 50, wherein the alarm grows in intensity.

54. The sensor device of claim 50, wherein the alarm includes a snooze option.

55. The sensor device of claim 50, wherein the visual alarm is sent through SMS text messaging.

56. The sensor device of claim 50, wherein the audible alarm is selected from the group consisting of beeping, voice tags and MP3s.

57. The sensor device of claim 50, wherein the tactile alarm is sent through vibrations.

58. The sensor device of claim 26, wherein the bolus estimator includes a memory to store information.

59. The sensor device of claim 58, wherein the memory stores one or more databases to be used in estimating the bolus amount.

60. The sensor device of claim 59, wherein the one or more databases are selected from the group consisting of a user history, a food library, a drug library and a bar code library.

61. The sensor device of claim 60, wherein the bolus estimator is adapted to provide intelligent therapy to the user based on the one or more databases.

62. The sensor device of claim 61, wherein the intelligent therapy comprises a recommendation of medication dosage amount and medication dosage timing based on an analysis of the user history.

63. The sensor device of claim 61, wherein the intelligent therapy comprises a recommendation of food type and food amount to consume based on an analysis of the user history.

64. The sensor device of claim 59, wherein the sensor is adapted to conduct carbohydrate counting based on the one or more databases.

65. The sensor device of claim 59, wherein the one or more databases are updated from a source selected from the group consisting of software, Internet, and manual input.

66. The sensor device of claim 65, wherein the update takes place during nighttime hours.

67. The sensor device of claim 26 further including a housing to contain the bolus estimator and the monitor.

68. The sensor device of claim 67, wherein the housing is selected from a group consisting of a keychain, a watch, a piece of jewelry, an accessory card, a Smartphone, and a key fob.

69. The sensor device of claim 67 further including a receptacle formed in the housing and adapted to receive a fluid from a user, wherein the sensor electronics is adapted to measure the analyte level of the user from the fluid.

70. The sensor device of claim 69, wherein the fluid is received into the receptacle on a test strip.

71. A sensor device for producing data indicative of an analyte level of a user, the sensor device comprising:

a sensor adapted to measure an analyte level of a user;

sensor electronics coupled to the sensor for receiving the measured analyte level and processing the measured analyte level to generate analyte data;

a first transmitter device coupled to the sensor electronics and adapted to wirelessly transmit a communication including the analyte data;

a bolus estimator adapted to receive the communication from the first transmitter device to estimate a bolus amount of medication to be dispensed from a single dose medication device based upon the analyte data in combination with external factors; and

a monitor coupled to the bolus estimator to display a user interface, the monitor having one or more inputs adapted for use to enter and receive information about the external factors, and wherein the user interface displays the estimated bolus amount.

72. The sensor device of claim 71 further including a second transmitter device coupled to the bolus estimator, the second transmitter device adapted to wirelessly transmit the bolus amount to the single dose medication device.