Insulin Bolus Computation Using Multi-Interval Segmentation
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Solution Overview
Problem
Current diabetes management systems fail to accurately determine and recommend insulin bolus quantities when the glucose lowering action of the insulin bolus spans multiple time intervals, leading to inadequate or excessive insulin administration.
Innovation Solution
A method for computing a recommended insulin bolus quantity that takes into account the time-dependent insulin sensitivity and target glucose levels across adjacent time intervals, using percentages of insulin action for each interval to ensure precise glucose level management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If insulin bolus quantity is determined using only current time interval parameters, then the computation is simple and fast, but the accuracy of glucose level management deteriorates when insulin action spans multiple time intervals
Solution Approach 1:
The method segments the insulin bolus action into multiple time intervals, determining a percentage for each interval that represents the portion of insulin action occurring during that interval. This segmentation allows accurate accounting of insulin effects across interval boundaries while maintaining a structured, manageable computation process.
Solution Approach 2:
The invention adds a temporal dimension to the bolus computation by introducing time interval percentages. Instead of a single static calculation, the system now considers the dynamic distribution of insulin action across multiple time dimensions, improving accuracy without excessive complexity.
2Reliability
If insulin bolus quantity is determined without considering multiple time intervals, then the computation process is simple, but glucose levels may fall outside target ranges leading to inadequate or excessive insulin administration
Solution Approach 1:
The insulin bolus is segmented across multiple time intervals with specific percentages assigned to each interval. This segmentation ensures that the full insulin action is accounted for across the appropriate time periods, improving reliability of glucose management while keeping the calculation structured and manageable.
Solution Approach 2:
The system performs preliminary determination of insulin action percentages for each time interval before finalizing the bolus quantity. This preliminary action ensures that the temporal distribution of insulin effects is pre-calculated and integrated into the final recommendation, enhancing reliability without excessive complexity.
3Measurement precision
If the insulin bolus computation accounts for multiple time intervals with percentage distributions, then the accuracy of glucose level tracking is improved, but the computational complexity increases
Solution Approach 1:
The computation is segmented into discrete time intervals with assigned percentages, transforming a complex continuous problem into manageable discrete components. This segmentation maintains precision in tracking glucose levels while making the computational process more tractable and systematic.
Solution Approach 2:
The system changes the parameter representation by introducing time interval percentages as new parameters. This parameter transformation allows precise tracking of insulin action distribution across intervals while providing a structured framework that manages computational complexity through standardized parameter relationships.
Data Source
AI summary
A method of computing an insulin bolus quantity when a measured glucose value in a current time interval exceeds a target glucose value for the current time interval and when a time duration of glucose lowering action of the bolus to be administered spans the current and a number of the next adjacent time intervals, may comprise determining a corresponding number of percentages of insulin action of the recommended bolus quantity that will each be used lowering the glucose level during a respective one of the number of time intervals, and computing the recommended bolus quantity as a function of the measured glucose value, the target blood glucose level for a last one of the number of next adjacent time intervals, the insulin sensitivities for the current and each of the number of next adjacent time intervals, and the corresponding number of percentages.