Body Composition Evaluation Using Weight-Change Invariant Reference Groups
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Solution Overview
Problem
Existing methods for evaluating weight change in body composition fail to provide a comprehensive view, as they do not differentiate between healthy and unhealthy weight loss or gain, such as preserving muscle health or shifting fat distribution.
Innovation Solution
A method and system that utilize reference groups from databases to evaluate body composition invariant to weight change by comparing body parameter values at different points in time, using databases to select individuals with similar subject characteristic parameters, determining mean or median values and deviations, and calculating z-scores to normalize the changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If weight loss or weight gain is used as the sole evaluation metric, then the evaluation is simple, but it does not provide a correct view of body composition development
Solution Approach 1:
The patent segments body composition evaluation into multiple independent parameters (fat mass, muscle mass, bone mass, visceral fat) rather than relying on a single weight metric. Each parameter is measured and evaluated separately using reference groups, allowing comprehensive assessment of body composition changes while maintaining evaluation simplicity through standardized procedures.
Solution Approach 2:
The patent transitions from one-dimensional weight evaluation to multi-dimensional body composition evaluation by incorporating fat mass, muscle mass, bone mass, and visceral fat measurements. This dimensional expansion provides a correct view of body composition development while managing complexity through systematic reference group comparisons.
2Measurement precision
If reference groups with similar subject characteristic parameters are used, then the evaluation becomes more accurate, but the complexity of the evaluation process increases
Solution Approach 1:
The patent performs preliminary actions by pre-establishing reference groups in databases with known body parameter distributions across different subject characteristic parameters (age, sex, ethnicity, BMI). These reference groups are prepared in advance, allowing rapid and accurate comparisons without real-time complexity when evaluating individual body parameter changes.
Solution Approach 2:
The patent uses copying by creating virtual reference populations from database records that replicate the distribution of body parameters for specific subject characteristic parameter ranges. These copied reference groups enable accurate comparisons while managing system complexity through standardized data structures and comparison algorithms.
3Reliability
If weight change is taken into account in the evaluation, then the evaluation reflects actual body composition changes, but the evaluation becomes weight-dependent rather than weight-change invariant
Solution Approach 1:
The patent applies local quality by selecting different reference groups based on the subject's specific characteristic parameters (age, sex, ethnicity, BMI range) at each measurement time point. This ensures that comparisons are made against appropriate reference populations that reflect the subject's local characteristics, making the evaluation both reliable and weight-change invariant.
Solution Approach 2:
The patent utilizes parameter changes by dynamically selecting reference groups that match the subject's current characteristic parameters rather than using fixed reference standards. This allows the evaluation to adapt to weight changes and other parameter variations while maintaining invariance through consistent methodological approaches across different time points.
Data Source
AI summary
The present invention relates to a system and a method of providing a basis for a weight change invariant body composition evaluation for a subject individual is provided. A first and a second value of a body parameter of the subject individual are acquired for a first and a second point in time respectively. A first and a second value of a subject characteristic parameter comprising weight of the subject individual are acquired for the first and the second points in time. Two groups of individuals are selected from databases based on comparison with the subject characteristic parameter. Mean or median values are determined. The basis for the evaluation is provided by a determined first body parameter change based on the mean or median values in combination with the first and second values of the body parameter of the subject individual.