Glucose Sensor False Alarm Reduction via Temperature Cross-Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Commercially available continuous glucose monitoring systems often generate false alarms for hypoglycemic conditions due to inaccuracies and environmental factors, leading to inconvenience and potential untreated hypoglycemia, especially at night.
Innovation Solution
The system monitors glucose levels in conjunction with temperature and perspiration levels, confirming the presence of hypoglycemic conditions by analyzing the rate of change and slope of these parameters before asserting notifications, thereby reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If glucose sensor monitoring is used to detect hypoglycemic conditions, then early detection capability is improved, but false alarm rate increases
Solution Approach 1:
The patent combines multiple sensing modalities (glucose sensor, temperature sensor, perspiration sensor) into an integrated monitoring system. By merging these different measurement approaches, the system cross-validates readings to distinguish true hypoglycemic events from sensor artifacts, thereby improving detection reliability while maintaining measurement precision.
Solution Approach 2:
The patent introduces temperature and perspiration levels as intermediary parameters that mediate between the glucose sensor readings and the final alarm decision. These intermediary measurements help identify environmental or physiological factors that may cause false glucose readings, allowing the system to filter out false alarms while preserving true positive detections.
2Reliability
If alarm notifications are triggered based on low glucose readings, then patient safety is improved, but user convenience deteriorates due to false alarms
Solution Approach 1:
The patent performs preliminary validation of glucose readings by checking temperature and perspiration parameters before triggering an alarm notification. This preliminary action filters out false positives caused by sensor artifacts or environmental factors, ensuring that only genuine hypoglycemic events trigger nighttime alarms, thereby maintaining patient safety while preserving user convenience.
Solution Approach 2:
The patent implements a feedback mechanism where temperature and perspiration measurements continuously monitor and validate glucose sensor readings. When the glucose level drops, the system checks whether accompanying temperature or perspiration changes confirm a true hypoglycemic event before activating the alarm, thus reducing false alarms while maintaining reliable safety monitoring.
3Reliability
If multiple physiological parameters are monitored to confirm hypoglycemic conditions, then false alarm reduction is improved, but device complexity increases
Solution Approach 1:
The patent implements multi-functional sensors that serve multiple purposes: the temperature sensor monitors both ambient temperature and body temperature changes, while the perspiration sensor detects both sweat presence and physiological stress responses. This universal approach allows the system to use a single sensor for multiple validation functions, reducing the need for additional specialized sensors and thereby limiting the increase in device complexity.
Data Source
AI summary
Embodiments of the present disclosure include a method for receiving sensor data indicative of a glucose level from a glucose sensor configured to be positioned in contact with a bodily fluid under a skin surface of a subject, receiving, from a temperature sensor, temperature data indicative of a temperature of the skin surface, determining a rate of change of the glucose level, wherein the rate of change indicates a presence of a hypoglycemic condition, determining that a variation of the temperature of the skin surface is within a predetermined range of temperature values, and determining, in response to the variation of the temperature data, that the rate of change of the glucose level corresponds to a sensor signal attenuation.