Bio-Impedance Estimation Model for Accurate Blood Marker Sensing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing bio-impedance measurement methods lack accuracy in estimating bio-information such as free fatty acids, triglycerides, and blood test markers, necessitating improved estimation techniques for more precise health monitoring.
Innovation Solution
An apparatus and method utilizing a pair of input and receiving electrodes to measure bio-impedance, combined with a processor that applies an estimation model correlating bio-impedance with bio-information, including free fatty acid, triglyceride, and blood test markers, using regression analysis and personalized user data for enhanced accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional bio-impedance measurement methods are used, then the measurement process is simple, but the estimation accuracy of bio-information is insufficient
Solution Approach 1:
The patent transforms the estimation approach by changing from conventional simple impedance measurement to a multi-parameter estimation model that incorporates impedance magnitude, phase angle, and frequency-dependent characteristics. This parameter transformation enables more accurate estimation of bio-information including free fatty acids, triglycerides, and blood markers while managing model complexity through systematic parameter selection.
2Measurement precision
If a simple estimation model is used, then the device complexity is low, but the estimation accuracy of bio-information is insufficient
Solution Approach 1:
The patent applies preliminary action by pre-establishing the estimation model with optimized parameters and correlation relationships before actual measurement. The model incorporates pre-determined relationships between impedance characteristics and bio-information, allowing accurate estimation without requiring complex real-time calculations during measurement, thus balancing accuracy with manageable device complexity.
3Adaptability or versatility
If bio-impedance measurement is applied to estimate multiple bio-information parameters, then the versatility of the device is improved, but the measurement precision for each parameter may be compromised
Solution Approach 1:
The patent applies local quality by optimizing the estimation model for different bio-information parameters with distinct correlation characteristics. Each parameter (free fatty acids, triglycerides, blood markers) has its own optimized estimation approach within the unified model, allowing the system to maintain high precision for each specific parameter while providing versatile multi-parameter estimation capabilities.
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
Enables precise estimation of bio-information by correlating bio-impedance with tissue fluid and blood concentrations, allowing real-time monitoring of fat levels, calorie consumption, and blood markers, with personalized user models for improved health monitoring.
Implementation Method 1
an impedance sensor including a pair of input electrodes and a pair of receiving electrodes, and configured to measure bio-impedance of a user by applying a current to the pair of input electrodes and by measuring a voltage between the pair of receiving electrodes
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
An apparatus for estimating bio-information includes: an impedance sensor including a pair of input electrodes and a pair of receiving electrodes, and configured to measure bio-impedance of a user by applying a current to the pair of input electrodes and by measuring a voltage between the pair of receiving electrodes; and a processor configured to estimate bio-information by applying, to the measured bio-impedance, an estimation model that uses a correlation between the measured bio-impedance and the bio-information to be estimated.