Closed Loop Control And Signal Attenuation Detection

• US 20100057057A1
• Filed: 08/31/2008
• Published: 03/04/2010
• Est. Priority Date: 08/31/2008
• Status: Active Grant

• Current Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Abbott Diabetes Care Incorporated (Abbott Laboratories Incorporated)
• Inventors: Hayter, Gary, Budiman, Erwin S.
• Granted Patent: US 9,392,969 B2
• Time in Patent Office: Days
• US Class Current: 604/890.100
• CPC Class Codes: A61B 5/0031 Implanted circuitry
• 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 5/1495 Calibrating or testing of in-vivo probes
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61M 2205/18 with alarm
• CPC Class Codes: A61M 2205/3303 Using a biosensor
• CPC Class Codes: A61M 2205/3507 with implanted devices, e.g. external control
• CPC Class Codes: A61M 2205/50 with microprocessors or computers
• CPC Class Codes: A61M 2205/581 by audible feedback
• CPC Class Codes: A61M 2205/582 by tactile feedback
• CPC Class Codes: A61M 2205/583 by visual feedback
• CPC Class Codes: A61M 2205/702 automatically during use
• CPC Class Codes: A61M 2230/201 Glucose concentration
• CPC Class Codes: A61M 5/142 Pressure infusion, e.g. using pumps
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 20/17 delivered via infusion or injection

Abstract

Methods, system and devices for monitoring a plurality of parameters associated with a closed loop control operation including continuously monitoring a physiological condition and automatic administration of a medication, detecting a signal level associated with the monitored physiological condition deviating from a predetermined threshold level, retrieving the medication level administered associated with a time period of the detected signal level, applying the retrieved medication level to the detected signal based on a predefined predictive model to generate a predictive signal, and comparing the detected signal to the predictive signal to determine whether a condition associated with the detected signal level is present are provided.

Claims

1. A method, comprising:

monitoring a plurality of parameters associated with a closed loop control operation including continuously monitoring a physiological condition and automatic administration of a medication;

detecting a signal level associated with the monitored physiological condition deviating from a predetermined threshold level;

retrieving the medication level administered associated with a time period of the detected signal level;

applying the retrieved medication level to the detected signal based on a predefined predictive model to generate a predictive signal; and

comparing the detected signal to the predictive signal to determine whether a condition associated with the detected signal level is present.

2. The method of claim 1 wherein the signal level is associated with an analyte level and the condition associated with the detected signal level includes early signal attenuation condition.

3. A method, comprising:

monitoring control parameters in a closed loop control operation including continuously monitoring a physiological condition and automatic administration of a medication;

determining glucose response level based on a predictive model including a delivery rate of the administered medication;

comparing the determined glucose response level to a time corresponding analyte sensor signal based on the monitored physiological condition to determine a sensor signal condition; and

executing a corrective procedure when the determined sensor signal condition based on the comparison indicates an adverse signal condition.

4. The method of claim 3 wherein the adverse signal condition includes a signal attenuation level below a predetermined level.

5. The method of claim 3 including confirming the existence of the adverse signal condition prior to executing the corrective procedure.

6. The method of claim 3 wherein the adverse signal condition is associated with an impending hypoglycemic condition.

7. The method of claim 3 further including asserting a notification associated with the adverse signal condition.

8. The method of claim 7 wherein the notification includes one or more of an audible alarm, a vibratory alarm, a visual alarm, or one or more combinations thereof.

9. The method of claim 3 wherein the corrective procedure includes calibration of the analyte sensor.

10. The method of claim 3 wherein executing the corrective procedure includes, waiting a predetermined time period to confirm the presence of the adverse signal condition prior to executing the corrective procedure.

11. The method of claim 3 wherein the predictive model includes a predictive algorithm for modeling a glycemic condition.

12. A device, comprising:

one or more processors; and

a memory operatively coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to monitor control parameters in a closed loop control operation including continuously monitoring a physiological condition and automatic administration of a medication, determine glucose response level based on a predictive model including a delivery rate of the administered medication, compare the determined glucose response level to a time corresponding analyte sensor signal based on the monitored physiological condition to determine a sensor signal condition, and execute a corrective procedure when the determined sensor signal condition based on the comparison indicates an adverse signal condition.

13. The device of claim 12 wherein the adverse signal condition includes a signal attenuation level below a predetermined level.

14. The device of claim 12 wherein the memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to confirm the existence of the adverse signal condition prior to executing the corrective procedure.

15. The device of claim 12 wherein the adverse signal condition is associated with an impending hypoglycemic condition.

16. The device of claim 12 wherein the memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to assert a notification associated with the adverse signal condition.

17. The device of claim 16 wherein the notification includes one or more of an audible alarm, a vibratory alarm, a visual alarm, or one or more combinations thereof.

18. The device of claim 12 wherein the corrective procedure includes calibration of the analyte sensor.

19. The device of claim 12 wherein the memory for storing instructions which, when executed by the one or more processors, causes the one or more processors to wait a predetermined time period to confirm the presence of the adverse signal condition prior to executing the corrective procedure.

20. The device of claim 12 wherein the predictive model includes a predictive algorithm for modeling a glycemic condition.