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A Thermal Skin Model for Comparing Contact Skin Temperature Sensors and Assessing Measurement Errors
To improve the measurement and subsequent use of human skin temperature ( ) data, there is a need for practical methods to compare sensors and to quantify and better understand measurement error. We sought to develop, evaluate, and utilize a skin model with skin-like thermal properties as a tool for...
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Published in: | Sensors (Basel, Switzerland) Switzerland), 2021-07, Vol.21 (14), p.4906 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | To improve the measurement and subsequent use of human skin temperature (
) data, there is a need for practical methods to compare
sensors and to quantify and better understand measurement error. We sought to develop, evaluate, and utilize a skin model with skin-like thermal properties as a tool for benchtop
sensor comparisons and assessments of local temperature disturbance and sensor bias over a range of surface temperatures. Inter-sensor comparisons performed on the model were compared to measurements performed in vivo, where 14 adult males completed an experimental session involving rest and cycling exercise. Three types of
sensors (two of them commercially available and one custom made) were investigated. Skin-model-derived inter-sensor differences were similar (within ±0.4 °C) to the human trial when comparing the two commercial
sensors, but not for the custom
sensor. Using the skin model, all surface
sensors caused a local temperature disturbance with the magnitude and direction dependent upon the sensor and attachment and linearly related to the surface-to-environment temperature gradient. Likewise, surface
sensors also showed bias from both the underlying disturbed surface temperature and that same surface in its otherwise undisturbed state. This work supports the development and use of increasingly realistic benchtop skin models for practical
sensor comparisons and for identifying potential measurement errors, both of which are important for future
sensor design, characterization, correction, and end use. |
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ISSN: | 1424-8220 1424-8220 |
DOI: | 10.3390/s21144906 |