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Published on: September 14, 2018
Thermometry and interpretation of body temperature
1Biomedical Information Technology Laboratory, Research Center for Advanced Information Science and Technology, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan.
This review covers human body temperature (BT) measurement technologies and interpretation. It details historical context, measurement types, instrumental and mathematical methods, and future prospects in thermometry.
Area of Science:
- Biomedical Engineering
- Physiology
- Medical Informatics
Background:
- Human body temperature (BT) has been a fundamental vital sign since the 19th century, crucial for clinical diagnosis and healthcare.
- Understanding BT set point and thermoregulation is key to interpreting temperature measurements.
- Various factors influence BT measurement accuracy and reliability.
Purpose of the Study:
- To provide a comprehensive review of thermometric technologies for human body temperature measurement.
- To explore both the methodologies of BT measurement and the interpretation of its significance.
- To discuss the historical development and current state of BT measurement techniques.
Main Methods:
- Categorization of BT measurement into core, surface, and basal body temperature based on position and activity.
- Classification of measurement methodologies into instrumental (direct, indirect, invasive, noninvasive) and mathematical (modeling-based) approaches.
- Summary of thermometry modalities based on dichotomies like contact/noncontact and 1-D/n-D.
Main Results:
- Identified key determinants influencing BT measurement.
- Detailed instrumental methods using transducers and electronic instrumentation.
- Described mathematical methods employing models like regression and Kalman filters for indirect BT estimation.
- Classified thermometry modalities into various types.
Conclusions:
- Comprehensive interpretation of BT is as vital as accurate measurement.
- BT applications are categorized into real-time and long-term uses.
- Future developments in thermometry and BT interpretation are anticipated with advancements in IoT, big data, and AI.
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