Aggressiveness Parameter for Insulin Infusion Control
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Solution Overview
Problem
Current artificial pancreas systems face challenges in accurately determining the aggressiveness parameter for insulin infusion in diabetic patients, making it difficult to achieve a balance between controlling blood glucose levels and avoiding complications.
Innovation Solution
A computerized system that allows users to easily parameterize a fluid infusion system with a target parameter and an aggressiveness parameter, enabling the patient to adjust treatment aggressiveness directly, incorporating modules like model-predictive control, expert systems, and activity-handling to determine basal and bolus insulin values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complex multi-factor model is used to determine insulin quantity, then the accuracy of blood glucose control is improved, but the difficulty of parameterization and system complexity increases
Solution Approach 1:
The patent extracts the concept of aggressiveness from the complex multi-factor model and presents it as a separate, standalone parameter that users can directly control. This separation simplifies the user interface while maintaining the underlying complexity needed for accurate blood glucose control through multiple factors including aggressiveness, target glucose levels, and meal handling parameters.
Solution Approach 2:
The patent introduces aggressiveness as a可调 parameter that changes the system's behavior characteristics. By allowing users to adjust this single parameter, the system can adapt its response intensity to match patient preferences and physiological conditions, simplifying parameterization while maintaining control accuracy through the integrated multi-factor model that processes aggressiveness along with other physiological parameters.
2Measurement precision
If aggressiveness is integrated into complex multi-factor equations, then the control accuracy is improved, but the ease of operation and user understanding deteriorates
Solution Approach 1:
The patent uses aggressiveness as an intermediary parameter that bridges the gap between user preferences and complex control algorithms. Users interact with this intuitive concept rather than directly manipulating complex equations, while the system internally processes aggressiveness through multi-factor calculations to achieve accurate blood glucose control. This intermediary approach maintains both user-friendly operation and computational accuracy.
3Speed
If a higher aggressiveness parameter is used, then the speed of reaching target glucose levels is improved, but the risk of hypoglycemia and safety deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of aggressiveness through user feedback and system learning. The aggressiveness parameter is not fixed but adapts based on patient responses, glucose level trends, and user preferences. This dynamic approach allows the system to increase response speed when appropriate while automatically reducing aggressiveness when safety concerns arise, thereby managing both speed and hypoglycemia risk through continuous adaptation rather than static parameter settings.
Solution Approach 2:
The patent incorporates feedback mechanisms where user experiences and glucose level outcomes are used to adjust the aggressiveness parameter. When users report hypoglycemic events or express safety concerns, the system learns to reduce aggressiveness in similar situations. Conversely, when rapid glucose control is needed and safe, the system can increase aggressiveness. This feedback loop enables the system to optimize the balance between response speed and safety based on actual patient responses rather than relying solely on pre-set parameters.
Data Source
AI summary
The computerized system repeatedly determines a value of a control parameter of a fluid infusion system for a diabetic patient, based on a data-based processing user-parametered with a target parameter and at least one aggressiveness parameter.