Glucose-Guided Product Consumption Recommendations During Exercise
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Solution Overview
Problem
Athletes lack accurate guidance on when and how much to consume carbohydrate-containing products during exercise to maintain optimal performance, as existing recommendations are generic and do not account for individual metabolic rates and activity-specific energy needs.
Innovation Solution
A system that combines continuous glucose monitoring and activity tracking to provide personalized recommendations on carbohydrate consumption timing and type based on real-time glucose data and activity metrics, using algorithms to learn and predict optimal intake.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If athletes consume carbohydrate-containing products according to generic packaging guidance, then they receive simple and easy-to-follow instructions, but the guidance does not account for individual metabolic rates and activity-specific energy needs, resulting in suboptimal performance
Solution Approach 1:
The system continuously monitors glucose levels and provides real-time feedback to the athlete about when and what to consume. The monitoring device measures glucose levels at regular intervals and uses this feedback to generate personalized consumption recommendations, creating a closed-loop system that adapts to the athlete's actual metabolic state rather than relying on generic pre-set instructions
Solution Approach 2:
The consumption guidance transitions from static generic instructions on packaging to dynamic real-time recommendations based on current glucose levels, activity type, intensity, and duration. The system continuously updates consumption advice during exercise to match the athlete's changing metabolic demands, making the guidance adaptive and personalized
2Productivity
If athletes consume more carbohydrate-containing products to meet energy needs, then they can maintain performance during intense or prolonged exercise, but they risk overconsumption which may cause digestive discomfort and other undesired factors
Solution Approach 1:
The system uses real-time glucose monitoring feedback to precisely determine when consumption is needed and when it should be avoided. By continuously measuring glucose levels and comparing them against target ranges, the system provides timely alerts that prevent both underconsumption (which would harm performance) and overconsumption (which would cause digestive issues)
Solution Approach 2:
The system dynamically adjusts consumption recommendations based on changing parameters including glucose level thresholds, activity intensity, exercise duration, and individual metabolic rate. These parameter changes enable personalized dosing that matches actual energy needs rather than applying fixed consumption rules
3Measurement precision
If the system provides personalized consumption recommendations based on real-time glucose data and activity metrics, then athletes receive accurate and timely guidance, but the system complexity increases requiring multiple sensors and algorithms
Solution Approach 1:
The system combines multiple functions into an integrated wearable device that simultaneously performs activity monitoring, glucose level detection, and consumption recommendation generation. By merging these previously separate functions into a single unified system, the patent reduces the overall complexity that would arise from using multiple separate devices and simplifies the user experience
Data Source
AI summary
Disclosed herein are techniques related to product consumption recommendations. In some embodiments, the techniques may involve determining, based on glucose data of a user and activity data indicating movement of the user during an activity, a recommendation associated with a consumption of a product by the user to maintain a glucose level within a target range during the activity, and, in response to the recommendation indicating that the consumption of the product is recommended, providing the recommendation to the user.