Sensor Model Supervision With State-Feedback Insulin Control
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Solution Overview
Problem
Current insulin infusion pumps are limited by the speed of insulin delivery and do not efficiently mimic the natural insulin secretion pattern of healthy β-cells, leading to potential complications such as excessive weight gain, hypertension, and atherosclerosis.
Innovation Solution
A closed-loop insulin infusion system that models the natural insulin response of healthy β-cells, using a PID controller to regulate insulin delivery based on glucose levels, incorporating state variable feedback to account for insulin distribution delays and metabolic effects, and adjusting insulin secretion patterns to match in vivo adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional external infusion pumps are used to deliver insulin, then continuous infusion control is provided, but the system does not efficiently mimic natural insulin secretion patterns leading to complications
Solution Approach 1:
The system implements a closed-loop control mechanism where glucose sensor readings continuously feedback to the controller, which adjusts insulin delivery rates accordingly. This mimics the natural pancreas-β-cell feedback system where insulin secretion responds to blood glucose levels, thereby providing reliable diabetic control while avoiding harmful effects of traditional open-loop pumping
Solution Approach 2:
The system enables the diabetic patient's body to effectively regulate its own glucose levels by using an artificial β-cell system that automatically senses glucose and secretes appropriate insulin amounts without requiring manual intervention. This self-regulating mechanism replicates natural physiology and prevents the harmful side effects associated with traditional pump therapy
2Adaptability or versatility
If fast acting insulin is used in infusion pumps, then insulin profiles can be changed quickly, but the pump delivery speed remains limited by the insulin speed
Solution Approach 1:
The system dynamically adjusts insulin delivery rates in real-time based on current glucose levels and predicted future glucose trends. The controller continuously modifies the insulin profile parameters (basal rate, bolus amounts, timing) to match the patient's instantaneous metabolic needs, enabling rapid adaptation to changing conditions without being constrained by fixed pump delivery speeds
Data Source
AI summary
Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.