Safeguarding measures for a closed-loop insulin infusion system

• US 9,526,834 B2
• Filed: 04/25/2013
• Issued: 12/27/2016
• Est. Priority Date: 08/30/2012
• Status: Active Grant

• Current Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Original Assignee: Medtronic Minimed Incorporated (Medtronic Plc)
• Inventors: Keenan, Desmond Barry, Mastrototaro, John J., Grosman, Benyamin, Parikh, Neha J., Roy, Anirban
• Primary Examiner(s): Riggs, II, Larry D
• Application Number:
  US13/870,910
• Publication Number:
  US 20140066885A1
• Time in Patent Office: 1,342 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: A61B 5/14503 invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/4839 combined with drug delivery
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61M 2205/18 with alarm
• CPC Class Codes: A61M 2205/502 User interfaces, e.g. screens or keyboards
• CPC Class Codes: A61M 2205/52 with memories providing a history of measured variating parameters of apparatus or patient
• CPC Class Codes: A61M 2205/582 by tactile feedback
• CPC Class Codes: A61M 2230/201 Glucose concentration
• CPC Class Codes: A61M 5/172 electrical or electronic A61M5/16804, A61M5/16831 take precedence
• 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 10/40 for data related to laboratory analysis, e.g. patient specimen analysis
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Processor-implemented methods of controlling an insulin infusion device for a user are provided here. A first method obtains a current insulin on board (IOB) value that estimates active insulin in the user, and compensates a calculated insulin infusion rate in response to the obtained IOB value. A second method supervises the operation of a glucose sensor by obtaining and processing insulin-delivered data and glucose sensor data for the user. An alert is generated if the second method determines that a current glucose sensor value has deviated from a predicted sensor glucose value by at least a threshold amount.

Claims

1. A processor-implemented method of controlling an insulin infusion device for a user, the insulin infusion device comprising an insulin reservoir for insulin to be delivered from the insulin infusion device to a body of a user, and further comprising a processor architecture comprising at least one processor device, the method comprising:

operating the processor architecture to obtain a current insulin on board (IOB) value that represents an estimate of active insulin in the body of the user;

calculating, by the processor architecture, an IOB rate based at least in part on the obtained current IOB value, wherein the IOB rate represents an amount of active insulin accumulated from manual boluses in the body of the user per unit of time;

determining, by the processor architecture, an adjusted insulin infusion rate based at least in part on the calculated IOB rate and an uncompensated insulin infusion rate;

selecting, by the processor architecture, a final insulin infusion rate for the insulin infusion device, wherein the selecting selects either the determined adjusted insulin infusion rate, the uncompensated insulin infusion rate, or a current basal rate as the final insulin infusion rate, wherein selecting the final insulin infusion rate is in accordance with either expression FinalRate(n)=max(Basal;

AdjustedRate(n)) when PIDRate>

Basal, or expression FinalRate(n)=PIDRate(n) when PIDRate≦

Basal, and wherein FinalRate(n) is the selected final insulin infusion rate, Basal is the current basal rate, AdjustedRate(n) is the determined adjusted insulin infusion rate, and PIDRate(n) is the uncompensated insulin infusion rate; and

operating the insulin infusion device in a closed-loop mode to continuously deliver insulin from the insulin reservoir to the body of the user in accordance with the final insulin infusion rate that is selected, wherein the final insulin infusion rate represents an amount of insulin to be delivered per unit of time.

2. The method of claim 1, further comprising:

repeating the operating the processor architecture, the calculating, the determining, the selecting, and the operating the insulin infusion device in accordance with a predetermined schedule to adjust the final insulin infusion rate in an ongoing manner.

3. The method of claim 1, wherein the operating the processor architecture obtains the current IOB value based at least in part on historical bolus delivery data for the user.

4. The method of claim 3, wherein the operating the processor architecture obtains the current IOB value in accordance with a three-compartment insulin pharmacokinetic model.

5. The method of claim 1, wherein calculating the IOB rate comprises:

calculating the IOB rate to be equal to the obtained IOB value multiplied by an IOB decay rate when the obtained IOB value is greater than a minimum IOB value; and

calculating the IOB rate to be equal to zero when the obtained IOB value is less than or equal to the minimum IOB value.

6. The method of claim 1, wherein determining the adjusted insulin infusion rate comprises:

selecting the adjusted insulin infusion rate in accordance with the expression

AdjustedRate(n)=max(0;

PIDRate(n)−

IOBRate(n)), wherein;

AdjustedRate(n) is the selected adjusted insulin infusion rate;

PIDRate(n) is the uncompensated insulin infusion rate; and

IOBRate(n) is the calculated IOB rate.

7. The method of claim 1, further comprising:

calculating, by the processor architecture, the uncompensated insulin infusion rate in accordance with a proportional-integral-derivative insulin feedback (PID-IFB) control algorithm.

8. A processor-implemented method of controlling an insulin infusion device for a user, the insulin infusion device comprising an insulin reservoir for insulin to be delivered from the insulin infusion device to the user, and further comprising a processor architecture comprising at least one processor device, the method comprising:

generating, by the processor architecture, a current insulin on board (IOB) value that represents an estimate of active insulin in the body of the user;

calculating, by the processor architecture, an IOB rate based at least in part on the generated current IOB value, wherein the IOB rate represents an amount of active insulin accumulated from manual boluses in the body of the user per unit of time;

obtaining an uncompensated insulin infusion rate;

determining, by the processor architecture, an adjusted insulin infusion rate in accordance with the expression

AdjustedRate(n)=max(0;

PIDRate(n)−

IOBRate(n));

selecting a final insulin infusion rate in accordance with the expression

9. The method of claim 8, further comprising:

repeating the generating, the calculating, the obtaining, the determining, the selecting, and the operating in accordance with a predetermined schedule to adjust the final insulin infusion rate in an ongoing manner.

10. The method of claim 8, wherein the generating calculates the current IOB value based at least in part on historical bolus delivery data for the user.

11. The method of claim 8, wherein the generating calculates the current IOB value in accordance with a three-compartment insulin pharmacokinetic model.

12. The method of claim 8, wherein the calculating calculates the IOB rate in accordance with the expression

13. The method of claim 8, wherein the obtaining comprises:

calculating, by the processor architecture, PIDRate(n) in accordance with a proportional-integral-derivative insulin feedback (PID-IFB) control algorithm.