System, method and article for controlling the dispensing of insulin
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.
1. An integrated circuit including circuitry to control a process, the process comprising:
adjusting fuzzy-logic control parameters based on blood-glucose-related data;
predicting blood glucose levels based on the blood-glucose-related data; and
generating control signals to control dispensing of insulin based on the 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 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.