Muscle Mass Estimation Using Segmented Bioimpedance Variables
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Solution Overview
Problem
Current muscle mass estimation methods using bioelectrical impedance analysis have low accuracy and are affected by diurnal fluctuations in electrical resistance, leading to unreliable muscle mass calculations.
Innovation Solution
A muscle mass estimation method that incorporates both height and electrical resistance values using specific calculation formulas, including variables that account for diurnal fluctuations by employing opposite signs and positions in the formulas, thereby stabilizing the computed muscle mass values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single resistance variable is used in the calculation formula, then the device complexity is reduced, but the measurement precision of muscle mass estimation deteriorates
Solution Approach 1:
The patent segments the resistance variable into multiple components: a first variable (Ht²/Z) that captures the primary relationship between height and resistance, and a second variable (Z) that captures diurnal fluctuations. This segmentation allows each variable to serve a specific function, improving overall measurement precision without creating an overly complex formula structure.
Solution Approach 2:
The patent adds a new dimension to the calculation by introducing the second variable that specifically addresses temporal variations (diurnal fluctuations). This transforms the calculation from a static single-variable approach to a multi-dimensional approach that accounts for both structural parameters (height) and temporal variations (resistance fluctuations).
2Ease of operation
If a single resistance variable is used in the calculation formula, then the ease of operation is improved, but the reliability of muscle mass estimation deteriorates due to diurnal fluctuations
Solution Approach 1:
The calculation formula is segmented into distinct variable components with clear functional assignments. The first variable handles the primary height-resistance relationship while the second variable specifically addresses diurnal fluctuations. This segmentation maintains operational simplicity by keeping the formula structure clear while improving reliability through targeted variable functions.
Solution Approach 2:
The patent changes the parameter representation by using multiple variables instead of a single resistance value. The first variable (Ht²/Z) and second variable (Z) are derived from the same resistance measurement but serve different purposes in the calculation, allowing the system to maintain ease of operation while capturing temporal variations that improve reliability.
3Measurement precision
If multiple variables including height and resistance are used, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the calculation into distinct variable components: Ht²/Z for the primary relationship and Z for fluctuation suppression. This segmentation improves measurement precision by assigning specific functions to each variable while maintaining a relatively simple overall formula structure that is easy to implement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables accurate and stable muscle mass estimation by reducing the impact of diurnal fluctuations, resulting in improved accuracy compared to methods using a single resistance variable.
Implementation Method 1
Body composition information (muscle mass, body water percentage, body fat percentage, etc.) has hitherto been estimated using bioelectrical impedance analysis (BIA)
Data Source
AI summary
A muscle mass estimation method including acquiring a height of a living organism, acquiring an electrical resistance value measured for the living organism, and computing a muscle mass of the living organism using a calculation formula including a first variable including the height of the living organism and the electrical resistance value, and a second variable including the electrical resistance value.