Blood Glucose Monitoring with Dynamic Insulin Sensitivity
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Solution Overview
Problem
Existing automated blood glucose monitoring systems rely on a fixed insulin sensitivity coefficient, failing to account for short-term variations, leading to unsuitable insulin doses and risks of hyperglycemia or hypoglycemia due to the inability to adjust in real-time.
Innovation Solution
An automated system that calculates a patient-specific insulin sensitivity coefficient using a mathematical model based on real-time blood glucose data, incorporating a history of insulin injections and glucose ingestion, allowing for real-time adjustments to ensure accurate insulin dosing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed insulin sensitivity coefficient is used in automated blood glucose monitoring systems, then the system is simple to operate and implement, but it cannot account for short-term variations in patient sensitivity, leading to unsuitable insulin doses and risks of hyperglycemia or hypoglycemia
Solution Approach 1:
The system automatically calculates and updates the insulin sensitivity coefficient using the patient's own historical data (blood glucose measurements, insulin injections, meal history) without requiring external intervention or complex manual calibration, enabling real-time adaptation while maintaining ease of use
Solution Approach 2:
The insulin sensitivity coefficient transitions from a static fixed value to a dynamic parameter that automatically updates in real-time based on changing patient conditions, allowing the system to adapt to short-term variations in sensitivity while managing complexity through automated calculations
2Adaptability or versatility
If complex methods are used to determine insulin sensitivity coefficient taking into account blood sugar history, insulin injection history, and meal history, then real-time adjustment is possible, but the implementation becomes complex and requires long past observation periods
Solution Approach 1:
The system pre-processes and stores patient data (blood glucose, insulin injections, meals) in structured formats during routine monitoring, preparing the data in advance for rapid coefficient calculation when needed, enabling real-time adaptation without complex on-demand processing
Solution Approach 2:
The system calculates the insulin sensitivity coefficient by analyzing changes in blood glucose levels in response to insulin injections and meal intake, using parameter variations from historical data to determine the optimal coefficient, enabling real-time adjustment through systematic parameter analysis rather than complex algorithms
Data Source
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AI summary
The invention relates to an automated system for monitoring a patient's blood sugar, comprising a blood sugar sensor (101) and a processing and control unit (105), in which the processing and control unit (105) is configured to calculate, on the basis of a first mathematical model fCR specific to the patient and taking into account a single blood sugar value Gr measured by the sensor, a coefficient CR representing the insulin sensitivity of the patient.