Variable Rate Closed Loop Control for Insulin Delivery
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Solution Overview
Problem
Closed loop control systems for insulin delivery in diabetic management face safety and accuracy issues due to potential failures in glucose sensors and infusion components, leading to unreliable insulin administration.
Innovation Solution
A method and device for continuously monitoring analyte levels using an analyte sensor, determining medication delivery rate adjustments based on variations, and modifying the closed loop control operation to ensure safe and accurate insulin delivery, incorporating safety parameters and predictive algorithms to prevent over-dosing and sensor failures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If continuous glucose monitoring is implemented at high frequency, then real-time glucose level information is improved, but system complexity and power consumption increase
Solution Approach 1:
The system dynamically adjusts the frequency of glucose monitoring based on current glucose levels and trends. When glucose levels are stable, monitoring frequency is reduced to conserve power and simplify processing. When glucose levels change rapidly or approach critical thresholds, monitoring frequency increases automatically to maintain measurement precision without constant high-frequency operation.
2Productivity
If automated insulin delivery is implemented, then treatment efficiency is improved, but safety risks increase due to potential sensor and infusion failures
Solution Approach 1:
The system performs preliminary safety checks and validations before automated insulin delivery. Glucose sensor readings are validated against expected physiological ranges and trends before triggering insulin delivery. The system pre-configures safety thresholds and delivery constraints to prevent erroneous automated actions, ensuring that automation efficiency does not compromise safety.
Solution Approach 2:
The system implements continuous feedback loops where glucose monitoring data, insulin delivery status, and system component health are constantly monitored and fed back to the control algorithm. This feedback mechanism allows the system to detect sensor drift, infusion set occlusions, or pump failures and adjust or halt automated delivery to maintain safety while preserving treatment efficiency.
3Ease of operation
If preprogrammed insulin delivery rates are used, then ease of operation is improved, but adaptability to varying glucose conditions deteriorates
Solution Approach 1:
The system transitions from static preprogrammed insulin delivery rates to dynamic, real-time adjusted delivery rates based on actual glucose monitoring data. The control algorithm automatically modifies basal and bolus insulin delivery in response to measured glucose levels and trends, maintaining ease of operation through automation while achieving superior adaptability to varying glucose conditions compared to fixed preprogrammed rates.
Data Source
AI summary
Methods, system and devices for monitoring a closed loop control operation including signal levels received from an analyte sensor at a predetermined frequency, determining a variation in the monitored analyte level, determining a medication delivery rate adjustment frequency to deliver a medication based on the determined variation in the monitored analyte level, and adjusting the closed loop control operation to modify the medication delivery rate frequency are provided.