Wrist Temperature Rhythm Correction via Environmental Interference Removal
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Solution Overview
Problem
Current methods for long-term monitoring of core body temperature are invasive and unsuitable for daily use, while non-invasive wrist temperature monitoring is affected by external environmental factors, making it challenging to accurately determine core body temperature rhythms.
Innovation Solution
A wrist temperature rhythm acquisition apparatus and method that includes data acquirers for wrist and external environment temperature data, and a processor to correct for environmental influences by removing specific temperature data based on change thresholds, interpolating remaining data to estimate corrected wrist temperature rhythms, and further estimating core temperature rhythms using heart rate and exercise data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wrist temperature monitoring is used for long-term non-invasive monitoring, then convenience and suitability for daily use are improved, but measurement precision deteriorates due to external environmental influence
Solution Approach 1:
The patent introduces an intermediary correction process that uses environmental temperature data as a mediating factor to adjust wrist temperature readings. The processor acquires environmental temperature and uses it to correct the wrist temperature data, thereby indirectly obtaining accurate core body temperature without direct contact with the body core.
Solution Approach 2:
The patent replaces the direct thermal measurement mechanism (invasive core temperature sensors) with an indirect thermal inference mechanism. Instead of mechanically inserting a temperature sensor into the body core, the system uses wrist temperature sensors combined with environmental temperature data and algorithmic correction to substitute for direct core temperature measurement.
2Quantity of substance
If wrist temperature data is collected continuously including during environmental temperature changes, then data quantity is improved, but measurement precision deteriorates due to environmental interference
Solution Approach 1:
The patent extracts and removes the environmental temperature influence from the wrist temperature data. The processor identifies portions of wrist temperature data that are significantly affected by environmental changes and excludes or corrects these portions, thereby separating the environmental interference from the physiological temperature rhythm information.
Solution Approach 2:
The patent implements a feedback mechanism where environmental temperature data is continuously monitored and fed back into the correction algorithm. The processor uses this feedback to dynamically adjust the wrist temperature readings, comparing environmental conditions with measured wrist temperature to determine the appropriate correction amount.
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 accurate and convenient determination of core body temperature rhythms by isolating environmental influences, providing reliable health information such as brain disease and sleep disorder monitoring.
Implementation Method 1
a first sensor configured to sense wrist temperature data of a user
Implementation Method 2
a second sensor configured to sense external environment temperature data
Data Source
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AI summary
A wrist temperature rhythm acquisition apparatus and method, a core temperature rhythm acquisition apparatus and method, and a wearable device are provided. The wrist temperature rhythm acquisition apparatus includes a data acquirer configured to acquire wrist temperature data of a user and external environment temperature data; and a processor configured to estimate wrist temperature rhythm data in which an influence of an external environment temperature is corrected, based on the acquired wrist temperature data and the acquired external environment temperature data.