Nourishment Timing System Using Physiological Data
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Solution Overview
Problem
Current methods lack an effective system for timing nutrient consumption based on individual physiological data and nutrient levels, which is crucial for maintaining health, particularly for individuals with diabetes or pre-diabetes.
Innovation Solution
A computing device receives a nutrient profile mapping physiological data to current nutrient levels, determines a nourishment consumption program that includes an alimentary element and a specific time for consumption, using machine-learning models to optimize nutrient absorption and metabolism rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If personalized nutrient timing is implemented based on individual physiological data, then health outcomes and nutrient level optimization are improved, but system complexity and data processing requirements increase
Solution Approach 1:
The system segments the complex health monitoring task into distinct functional modules: physiological data collection, nutrient level analysis, timing algorithm computation, and consumption program generation. Each module processes specific data types and performs dedicated functions, reducing overall system complexity while maintaining personalized accuracy.
Solution Approach 2:
The patent introduces an intermediary computing system that acts as a mediator between physiological data sources and health outcome optimization. This intermediary processes raw data, applies timing algorithms, and generates consumption programs, shielding users from system complexity while delivering reliable health outcomes.
2Measurement precision
If real-time nutrient level monitoring is performed, then nutrient intake timing accuracy is improved, but measurement and data processing difficulty increase
Solution Approach 1:
The system employs self-service mechanisms where the computing device automatically collects physiological data, processes nutrient level information, and generates timing recommendations without requiring manual intervention. This automation reduces measurement difficulty while maintaining high precision through continuous monitoring.
Solution Approach 2:
The patent implements feedback loops where nutrient level measurements are continuously monitored and fed back into the timing algorithm. This feedback mechanism refines measurement accuracy over time and automates the processing complexity, transforming difficult real-time analysis into manageable iterative improvements.
3Adaptability or versatility
If customized nourishment programs are generated for each individual, then adaptability to individual metabolic needs is improved, but device complexity and computational requirements increase
Solution Approach 1:
The system achieves adaptability by dynamically changing computational parameters based on individual physiological data. The timing algorithm adjusts nutrient consumption timing parameters according to each person's metabolic rate, absorption characteristics, and current nutrient levels, providing customization without requiring entirely separate systems for each individual.
Solution Approach 2:
The nourishment program is designed as a dynamic system that continuously adapts to changing physiological conditions. The computing device processes real-time data and adjusts timing recommendations dynamically, allowing high adaptability to individual metabolic needs while using efficient algorithms to manage computational requirements.
Data Source
AI summary
A system for timing impact of nourishment consumption, the system including a computing device configured to receive a nutrient profile of a subject, wherein the nutrient profile maps physiological data of the subject to current nutrient levels of the subject, determine, using the nutrient profile, a nourishment consumption program, wherein the nourishment consumption program includes at least an alimentary element, and a time of day for consuming the alimentary element wherein the time of day is determined as a function of the nutrient profile and the current nutrient level of the subject, and provide, to the subject, the nourishment consumption program.