In Vivo Analyte Monitoring for Meal Glycemic Response
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Solution Overview
Problem
Existing systems for tracking meal consumption and correlating it with analyte data, such as glucose levels, are inadequate due to reliance on inconvenient and inaccurate discrete blood glucose measurements, and fail to account for individual meal histories, leading to inefficient detection of meal events and manual logging burdens.
Innovation Solution
A system and method for detecting, measuring, and classifying meals based on analyte measurements, using in vivo analyte monitoring systems that provide timely and informative feedback, allowing for the association of meal information with analyte data to identify consistent trends and adjust dietary habits, and enabling automatic detection of meal events with adjustable sensitivity settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If discrete blood glucose measurements are used, then manual logging can be performed, but the system lacks sufficient data points to adequately determine glycemic response and requires inconvenient finger sticks
Solution Approach 1:
The patent replaces the mechanical finger-stick blood sampling system with an in vivo analyte monitoring system that continuously measures analyte levels through a sensor implanted in the body, eliminating the need for repeated manual blood draws while providing sufficient data points for accurate glycemic response characterization
Solution Approach 2:
The patent implements continuous analyte monitoring that collects data points throughout the day, replacing discrete intermittent measurements with a continuous stream of analyte level data, enabling adequate determination of glycemic response without requiring multiple manual measurements
2Extent of automation
If meal events are detected based simply on glucose level rises, then detection can be automated, but the system overestimates the number of meals consumed by failing to account for prior meal history
Solution Approach 1:
The patent applies preliminary action by implementing a meal history buffer that stores information about recently consumed meals before attempting to detect new meal events, allowing the system to distinguish between glucose rises from new meals versus those from previous meals
Solution Approach 2:
The patent uses feedback by continuously updating the meal history buffer with detected meal events and using this accumulated information to refine subsequent meal event detections, preventing overestimation by considering the temporal context of prior meals
3Measurement precision
If continuous analyte monitoring is implemented, then sufficient data points are available for glycemic response analysis, but the system generates large volumes of data that are difficult to represent in a meaningful manner
Solution Approach 1:
The patent extracts only the relevant information from the continuous analyte data stream by identifying and flagging specific meal events and glycemic responses, separating the essential analytical content from the voluminous raw data to simplify representation and interpretation
Solution Approach 2:
The patent segments the continuous analyte data into discrete meal event episodes with defined start and end points, organizing the data into manageable segments that can be individually analyzed and presented in a meaningful manner
Data Source
AI summary
Systems, devices, and methods for detecting, measuring and classifying meals for an individual based on analyte measurements. These results and related information can be presented to the individual to show the individual which meals are causing the most severe analyte response. These results can be organized and categorized based on preselected criteria or previous meals and results so as to organize and present the results in a format with reference to glucose as the monitored analyte. Various embodiments disclosed herein relate to methods, systems, and software applications intended to engage an individual by providing direct and timely feedback regarding the individual's meal-related glycemic response.