Variable Sampling Rate for Hypoglycemic Alarm Accuracy
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Solution Overview
Problem
Continuous glucose monitors (CGMs) face challenges in accurately detecting hypoglycemic events due to false positive and false negative alarms, which can lead to user distrust and potential harm from incorrect therapeutic actions.
Innovation Solution
The method involves establishing predetermined thresholds and rates of change in glucose concentration to calculate a critical sampling rate, adjusting the sampling rate based on actual glucose changes, and triggering a hypoglycemic alarm within a targeted glucose concentration interval to minimize false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a continuous glucose monitor uses a fixed sampling rate to detect hypoglycemic events, then the detection speed is consistent, but false positive and false negative alarms increase due to varying actual glucose change rates
Solution Approach 1:
The patent applies dynamics by transitioning from a fixed sampling rate to a variable sampling rate that adapts to the actual glucose change rate. The system dynamically adjusts the sampling rate based on measured glucose values: when glucose changes rapidly, the sampling rate increases to capture the trend accurately; when glucose is stable, the sampling rate decreases to reduce false alarms. This dynamic adaptation resolves the contradiction between detection speed and alarm reliability.
Solution Approach 2:
The patent changes the sampling rate parameter based on the actual glucose change rate. By calculating the rate of glucose change from sequential measurements and comparing it to a threshold, the system modifies the sampling rate parameter to optimize detection accuracy. This parameter change strategy allows the system to maintain high detection accuracy during rapid glucose changes while reducing false alarms during stable periods.
2Reliability
If the sampling rate is increased to capture rapid glucose changes, then false negative alarms are reduced, but the device complexity and energy consumption increase
Solution Approach 1:
The system uses dynamic sampling rate adjustment based on glucose change detection. When the glucose change rate exceeds a threshold, the sampling rate is increased to prevent false negative alarms. When glucose levels are stable, the sampling rate is reduced. This dynamic approach maintains reliability during critical events while simplifying operation during normal conditions.
Solution Approach 2:
The sampling rate parameter is changed based on the calculated glucose change rate. The system monitors glucose values and adjusts the sampling interval parameter accordingly, increasing frequency during rapid changes and decreasing it during stability. This parameter adaptation reduces device complexity by using simple threshold-based logic rather than complex continuous adjustment mechanisms.
3Ease of operation
If a fixed alarm threshold is used, then the alarm activation is simple, but false positive alarms occur when glucose temporarily fluctuates near the threshold
Solution Approach 1:
The system performs preliminary action by calculating the glucose change rate before triggering the alarm. Instead of simply comparing glucose level to a threshold, the system first assesses whether glucose is changing rapidly. Only when both conditions are met (low glucose level and rapid decline) does the alarm activate. This preliminary assessment prevents false positive alarms from temporary fluctuations.
Solution Approach 2:
The glucose change rate serves as an intermediary parameter between the glucose level and alarm activation. Rather than directly comparing glucose level to threshold, the system uses the change rate as an intermediate criterion. This intermediary mechanism filters out false alarms caused by temporary fluctuations while maintaining simple threshold-based operation.
Data Source
AI summary
The present invention is directed to a method of reducing false readings in a hypoglycemic detector that includes establishing a predetermined hypoglycemic threshold, a predetermined critical threshold, a predetermined rate of change in glucose concentration where the predetermined critical threshold is below the predetermined hypoglycemic threshold. A first sampling rate is then calculated based upon said predetermined hypoglycemic threshold, said predetermined critical threshold, and said predetermined rate of change in glucose concentration.


