System, method and article for controlling the dispensing of insulin

• US 10,080,842 B2
• Filed: 05/26/2017
• Issued: 09/25/2018
• Est. Priority Date: 06/19/2006
• Status: Active Grant

• Current Assignee: DexCom Incorporated
• Original Assignee: Dose Safety
• Inventors: Kircher, Jr., Robert C., Mauseth, Richard S., Bishop, Jason N., Matheson, Donald P., Bhatia, Suray, Bilmes, Jeff A.
• Primary Examiner(s): FULLER, RODNEY EVAN
• Application Number:
  US15/606,839
• Publication Number:
  US 20170258997A1
• Time in Patent Office: 487 Days
• Field of Search: 600316
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61M 2230/005 Parameter used as control input for the apparatus
• CPC Class Codes: A61M 2230/201 Glucose concentration
• 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: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: G16H 20/10 relating to drugs or medications, e.g. for ensuring correct administration to patients
• CPC Class Codes: G16H 20/13 delivered from dispensers
• CPC Class Codes: G16H 20/17 delivered via infusion or injection
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

An integrated circuit includes circuitry to control a process. The process includes adjusting fuzzy-logic control parameters based on received and retrieved blood glucose-related data, predicting blood glucose levels based on the received blood-glucose-related data, and generating control signals to control dispensing of insulin based on the received blood glucose-related data and the fuzzy-logic control parameters. The process may include predicting blood glucose levels based on the retrieved blood glucose-related data. The process may include transitioning between a post-meal correction protocol and a fasting protocol. The process may include transitioning from a post-meal correction protocol to a fasting protocol when a fasting criteria is satisfied.

Claims

1. An integrated circuit including circuitry to control a process, the process comprising:

adjusting fuzzy-logic control parameters based on received and retrieved blood glucose-related data;

predicting blood glucose levels based on the received blood-glucose-related data; and

generating control signals to control dispensing of insulin based on the received blood glucose-related data and the fuzzy-logic control parameters.

2. The integrated circuit of claim 1 wherein the process comprises predicting blood glucose levels based on the retrieved blood glucose-related data.

3. The integrated circuit of claim 1 wherein the process comprises selectively transitioning between a post-meal correction protocol and a fasting protocol.

4. The integrated circuit of claim 1 wherein the process comprises transitioning from a post-meal correction protocol to a fasting protocol when a fasting criteria is satisfied.

5. The integrated circuit of claim 1 wherein the process comprises transitioning from a fasting protocol to a post-meal correction protocol when a prandial event is detected.

6. The integrated circuit of claim 1 wherein the process comprises transitioning from a fasting protocol to a user-input protocol when a prandial event is detected.

7. The integrated circuit of claim 1 wherein the fuzzy-logic control parameters comprise fuzzy-logic multipliers.

8. The integrated circuit of claim 1 wherein the predicting blood glucose levels comprises predicting a subsequent blood glucose level based on a previously predicted blood glucose level.

9. The integrated circuit of claim 1 wherein the process comprises implementing at least one of a neural network and a dynamic Bayesian network.

10. The integrated circuit of claim 1 wherein the circuitry comprises a memory storing instructions, and the integrated circuit, in operation, executes the instructions.