Artificial Pancreas Event Detection from Blood Glucose Difference Rates
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Solution Overview
Problem
Current artificial pancreas systems require manual input of meal and exercise information for closed-loop control, limiting them to semi-closed-loop operation.
Innovation Solution
An automatic detection method based on the change rate of the difference between actual blood glucose values, combined with other judgment results, to determine meal or exercise events and adjust infusion strategies accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual input of meal and exercise information is required, then the artificial pancreas can adjust infusion strategy, but the system cannot achieve closed-loop control and requires user intervention
Solution Approach 1:
The system automatically detects meal and exercise events by monitoring blood glucose changes without requiring user input. The detection module continuously monitors glucose levels, and the judgment module automatically identifies events based on predefined criteria, enabling the artificial pancreas to self-adjust infusion strategies without user intervention.
Solution Approach 2:
The system uses feedback from continuous blood glucose monitoring to trigger automatic detection of meal and exercise events. When blood glucose changes exceed threshold values, the judgment module identifies the event type and adjusts infusion parameters accordingly, creating a closed-loop control system that responds automatically to physiological changes.
2Measurement precision
If continuous blood glucose monitoring is performed, then real-time data is available, but the detection device must be attached to skin and sensor inserted into interstitial fluid
Solution Approach 1:
The system uses interstitial fluid as an intermediary medium to indirectly measure blood glucose levels. The sensor detects glucose concentration in the interstitial fluid, which correlates with blood glucose levels, providing continuous monitoring without requiring direct blood sampling or complex skin attachment procedures.
3Extent of automation
If automatic event detection is implemented, then closed-loop control is achieved, but the system may misidentify events without additional judgment criteria
Solution Approach 1:
The judgment module applies different detection criteria and threshold values for different event types (meal events vs. exercise events). By analyzing the specific characteristics and patterns of blood glucose changes associated with each event type, the system accurately distinguishes between them and avoids misidentification, ensuring reliable automatic detection.
Data Source
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AI summary
The invention discloses an automatic detection method based on the change rate of the difference between the actual blood glucose values, including: obtaining an actual blood glucose value of the user at the current time; obtaining a historical actual blood glucose value of the user at the previous time, and calculate a difference between the actual blood glucose values at the current time and at the previous time; calculating a change rate of the difference between the actual blood glucose values at the current time; and comparing the change rate of the difference between the actual blood glucose values at the current time with a preset threshold, and determining an event type according to the comparing result. According to the determined event type, the artificial pancreas can automatically adjust the corresponding infusion strategy to achieve closed-loop control of the artificial pancreas.