Closed Loop Control System for Diabetes with Predictive Alarm Functions
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Solution Overview
Problem
Closed loop control systems for diabetes management face challenges in ensuring safety and accuracy due to potential failures in glucose sensors and insulin delivery components, which can lead to undesirable or dangerous insulin administration.
Innovation Solution
A closed loop control system that continuously monitors glucose levels, detects conditions associated with hypoglycemia, determines the probability of exceeding a threshold, and outputs notifications, while adjusting insulin delivery to maintain safety parameters, using integrated analyte sensors and medication delivery devices with predictive algorithms to prevent over-dosing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous glucose monitoring and automatic insulin administration are implemented, then glucose level control is improved, but safety risks increase due to potential sensor failure and inaccurate insulin delivery
Solution Approach 1:
The system performs preliminary actions by continuously monitoring control parameters and detecting adverse conditions before they lead to dangerous situations. The control unit proactively identifies when glucose sensor data becomes unreliable or when insulin delivery deviates from expected outcomes, and takes corrective action before harm occurs.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring the relationship between insulin delivery and resulting glucose levels. When the observed glucose response does not match the expected response based on the control algorithm, the system detects this discrepancy and adjusts its operation to prevent unsafe conditions.
2Reliability
If alarm functions are added to detect hypoglycemia conditions, then safety monitoring is improved, but false alarms increase due to sensor failure modes
Solution Approach 1:
The system performs preliminary detection of sensor failure modes by analyzing control parameter trends and glucose response patterns before issuing alarms. By identifying when the glucose sensor is likely to be in failure mode through predictive analysis of system behavior, the system可以避免 issuing false alarms while maintaining safety monitoring.
3Reliability
If robust safety checks and predictive algorithms are implemented, then system reliability is improved, but device complexity increases
Solution Approach 1:
The system implements self-service by automatically detecting its own operational status and safety conditions without requiring external monitoring. The control unit continuously assesses the reliability of its own sensor data and insulin delivery accuracy, and autonomously adjusts operation or alerts the user when safety thresholds are approached, reducing the need for complex external safety systems.
Data Source
AI summary
Methods, system and devices for monitoring control parameters in a closed loop control operation including continuously monitoring glucose level and automatic administration of a medication, detecting a condition associated with hypoglycemia, determining whether a probability of the detected condition associated with hypoglycemia exceeding a threshold level, and outputting a notification based upon the determination are provided.