Fat Metabolism Monitoring via Body Fat Trend Analysis
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Solution Overview
Problem
Existing methods for monitoring human fat metabolism rely on indirect calorimetric calculations, which can produce inaccurate results and require continuous monitoring of energy consumption and expenditure, leading to unreliable determination of body fat mass and percentage changes.
Innovation Solution
A method that determines an individual's fat metabolism state by analyzing changes in body fat mass over multiple consecutive moments, using an information system to identify trends and potential trend reversals, providing real-time recommendations for controlling fat metabolism through graphical visualization and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If indirect calorimetric calculations are used to monitor fat metabolism, then energy consumption and expenditure can be estimated, but measurement precision deteriorates due to inaccuracies in calculated results
Solution Approach 1:
The patent extracts the core measurement function from complex calorimetric calculations and isolates it to a simple body fat mass measurement device. By separating the measurement of body fat mass at different time points from the calculation of energy consumption, the system achieves accurate fat metabolism monitoring without requiring complex multi-parameter monitoring systems.
Solution Approach 2:
The patent uses repeated measurements of body fat mass at different time points as copies of the same physical quantity. By taking multiple measurements of the same parameter (body fat mass) at different moments, the system can determine fat metabolism state without needing to directly measure energy consumption and expenditure through complex devices.
2Reliability
If continuous monitoring of energy consumption and expenditure is performed, then fat metabolism state can be determined, but loss of time increases due to requirement of continuous data collection
Solution Approach 1:
The patent performs preliminary measurements of body fat mass at multiple time points before making the metabolism state determination. By collecting measurement data in advance at different moments, the system can reliably determine fat metabolism state without requiring continuous real-time monitoring, thus reducing the time loss associated with continuous data collection.
Solution Approach 2:
The patent uses periodic measurements of body fat mass at different time intervals instead of continuous monitoring. This periodic sampling approach maintains reliability of fat metabolism determination while significantly reducing the time and resources required compared to continuous monitoring of energy consumption and expenditure.
3Ease of operation
If body fat mass is determined based on two consecutive measurements, then simple monitoring is achieved, but measurement precision deteriorates due to faulty results from single changes
Solution Approach 1:
The patent performs preliminary measurements at more than two consecutive time points before making the final metabolism state determination. By extending the measurement period beyond just two consecutive measurements, the system maintains operational simplicity while significantly improving measurement precision and avoiding faulty results from single changes.
Solution Approach 2:
The patent uses more than the minimum required two measurements by implementing measurements at multiple consecutive time points. This excessive measurement approach goes beyond the basic requirement, providing redundant data that improves measurement precision and reliability while maintaining the simplicity of the monitoring method.
Data Source
AI summary
Method of monitoring energy consumption of an individual in an information system, comprised of periodically determining the energy balance of the individual by measuring body fat percentages (or body fat mass) at least at three consecutive moments of time and calculating change of body fat percentages (body fat mass) from two consecutive moments of time, and calculating the trends of the individual's energy balance from the changes of body fat percentages (body fat mass) and determining from the trend whether the individual is in the stage of burning or accumulating fat. The information system automatically generates recommendations for controlling energy balance based on the trends of changes of the energy balance.