Closed-Loop Insulin Dosing With Dynamic ISF Adaptation
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Solution Overview
Problem
Existing insulin sensitivity factor-based systems lack accuracy and reliability, leading to inadequate insulin dosing and increased risks of hyperglycemia and hypoglycemia, necessitating improved physiological models for better glycemic control.
Innovation Solution
A control device that determines insulin dosing recommendations using an Insulin Sensitivity Factor (ISF) as a function of measured blood glucose levels, incorporating a retrieving unit, recommendation unit, and insulin delivery unit, with features like autolearning and neural networks to adapt to individual user physiology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed Insulin Sensitivity Factor is used for insulin dosing calculations, then the system is simple to operate, but the accuracy of insulin dosing is insufficient leading to inadequate glycemic control
Solution Approach 1:
The patent applies dynamics by transforming the fixed ISF into a dynamic, time-varying parameter that adapts to changing physiological conditions. The system continuously updates ISF based on real-time glucose measurements, insulin delivery history, and carbohydrate intake data, allowing the insulin dosing algorithm to respond to the patient's evolving metabolic state rather than relying on static historical values
Solution Approach 2:
The patent implements feedback mechanisms where glucose sensor readings, insulin pump data, and carbohydrate logging information are continuously fed back to the control algorithm. This feedback loop enables the system to calculate and adjust the ISF dynamically, improving dosing accuracy by incorporating real-time physiological responses to insulin and food intake
2Adaptability or versatility
If insulin dosing is based on historical average ISF values, then the system is reliable and stable, but it cannot adapt to acute changes in blood glucose levels and physiological status
Solution Approach 1:
The patent applies preliminary action by having the system continuously calculate and prepare updated ISF values based on incoming glucose measurements and dietary information before insulin dosing decisions are required. The control algorithm maintains a running calculation of the current ISF state, so when a dosing event occurs, the most accurate and up-to-date sensitivity factor is already available for immediate use
Solution Approach 2:
The patent implements parameter changes by allowing the ISF to vary as a function of current blood glucose level rather than remaining constant. The system adjusts the ISF parameter dynamically based on the relationship between glucose concentration and insulin sensitivity, enabling adaptation to acute physiological changes while maintaining dosing reliability through continuous mathematical modeling
Data Source
AI summary
A control device (30) for determining a recommendation value of a control parameter of an insulin infusion device (20).