Core Body Temperature Estimation with Transient Correction
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Solution Overview
Problem
Existing temperature estimation methods for core body temperature in living bodies experience transient errors due to changes in wind or external air temperature, such as when a fan is blown or the environment changes.
Innovation Solution
A method involving multiple temperature sensors and model functions to detect transient responses, calculate coefficients, and correct internal temperature estimates by minimizing differences between sensor data and model outputs, specifically accounting for changes caused by wind and external air temperature changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a thermal equivalent circuit model is used to estimate core body temperature, then the estimation method is simple and computationally efficient, but transient errors occur when environmental conditions change (wind, temperature changes)
Solution Approach 1:
The patent applies dynamics by detecting transient responses in real-time and dynamically switching between different estimation methods. When a transient response is detected (indicating environmental changes), the system switches from the simple thermal equivalent circuit model to a more accurate estimation method that accounts for transient effects, thereby maintaining high accuracy without sacrificing simplicity during stable conditions
Solution Approach 2:
The patent implements feedback by continuously monitoring temperature measurements and detecting transient responses. Based on this feedback, the system automatically determines whether to apply correction processing, creating a closed-loop control system that adapts to changing environmental conditions and maintains estimation accuracy
2Measurement precision
If correction processing is applied to account for transient responses, then estimation accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The patent applies partial action by selectively applying correction processing only when transient responses are detected, rather than always using the complex correction algorithm. This approach maintains high accuracy when needed while reducing computational complexity during stable environmental conditions
Solution Approach 2:
The patent implements preliminary action by pre-defining multiple model functions that represent different transient response patterns. When a transient response is detected, the system can quickly apply the appropriate pre-prepared model function, reducing the computational burden compared to developing corrections in real-time
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 reduces estimation errors by accurately accounting for transient changes, minimizing the influence of wind and external air temperature fluctuations, thereby improving the accuracy of internal temperature estimation.
Implementation Method 1
a first temperature sensor configured to measure a temperature of a surface of a test subject
Implementation Method 2
a second temperature sensor configured to measure a temperature at a position away from the test subject
Implementation Method 3
Tcbt=Ts+Rb×Hso where Rb denotes a thermal resistance of the living body
Data Source
AI summary
A temperature estimation apparatus includes a temperature calculation unit that calculates a core body temperature of a living body, a transient response detection unit that detects a starting point of time of transient response of the core body temperature, a correction section determination unit that determines a correction section of the core body temperature for each of a plurality of model functions that model a change in the core body temperature during a transient response, a temperature correction unit that calculates a result of correcting the core body temperature in the correction section using the plurality of model functions, a correction result evaluation unit that evaluates a correction result, and a correction result output unit that replaces data in the correction section among time-series data of the core body temperature with a correction result determined to be the best by the correction result evaluation unit.


