Smartphone Glucose Monitoring Integration
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Solution Overview
Problem
Conventional methods for continuous glucose monitoring in diabetes management are limited by the lack of comfort and convenience, leading to infrequent blood glucose measurements, which can result in delayed detection of hyperglycemic or hypoglycemic events and inadequate insulin therapy decisions.
Innovation Solution
A system and method that leverages smartphone features to integrate data from continuous analyte sensors with other inputs, such as timekeeping, activity, location, and social networks, to provide more informative outputs for managing blood glucose levels, including alerts, recommendations, and data synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If continuous analyte sensor data alone is used for glucose monitoring, then the monitoring is continuous and eliminates finger pricks, but the information provided is insufficient for comprehensive diabetes management decisions
Solution Approach 1:
The patent combines continuous analyte sensor data with additional data from smartphone applications (activity tracking, timekeeping, location, food logging) to create a comprehensive glucose management system. This merging of multiple data sources provides both the comfort of continuous monitoring and the comprehensive information needed for informed diabetes management decisions.
Solution Approach 2:
The smartphone application serves multiple functions: it displays sensor data, tracks physical activity, monitors location, logs food intake, provides alerts, and generates insights. This multi-functional approach ensures that the single device (smartphone) provides comprehensive information for glucose management without requiring separate tools for each function.
2Loss of information
If smartphone features are integrated with continuous analyte sensor, then more comprehensive information is provided for glucose management, but the device complexity increases
Solution Approach 1:
The smartphone acts as an intermediary device that receives data from the continuous analyte sensor and processes it alongside other smartphone-collected data. This intermediary approach allows comprehensive data integration and processing without requiring the sensor itself to become complex, as the smartphone handles the computational burden of integrating multiple data sources.
3Measurement precision
If multiple data sources are integrated for glucose monitoring, then the accuracy and context-awareness of recommendations improve, but the processing complexity increases
Solution Approach 1:
The system processes multiple data sources (sensor readings, activity levels, time of day, location, food intake) and uses feedback loops to generate context-aware recommendations. The processor analyzes how these different factors interact and provide feedback to the user, creating accurate and personalized glucose management guidance based on the comprehensive data integration.
Data Source
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AI summary
The present embodiments harness a wide variety of capabilities of modern smartphones, and combine these capabilities with information from a continuous glucose monitor to provide diabetics and related people with more information than the continuous glucose monitor can provide by itself. The increased information provides the diabetic with an increased likelihood of good diabetes management for better health.