Validation of the thermophysiological model by Fiala for prediction of local skin temperatures

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• 作者：Natividad Martínez ; Agnes Psikuta ; Kalev Kuklane…
• 关键词：Thermophysiological model ; Thermophysiology ; Skin temperature ; Temperature sensors
• 刊名：International Journal of Biometeorology
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：60
• 期：12
• 页码：1969-1982
• 全文大小：
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment, general; Biological and Medical Physics, Biophysics; Meteorology; Animal Physiology; Plant Physiology; Environmental Health;
• 出版者：Springer Berlin Heidelberg
• ISSN：1432-1254
• 卷排序：60

文摘

The most complete and realistic physiological data are derived from direct measurements during human experiments; however, they present some limitations such as ethical concerns, time and cost burden. Thermophysiological models are able to predict human thermal response in a wide range of environmental conditions, but their use is limited due to lack of validation. The aim of this work was to validate the thermophysiological model by Fiala for prediction of local skin temperatures against a dedicated database containing 43 different human experiments representing a wide range of conditions. The validation was conducted based on root-mean-square deviation (rmsd) and bias. The thermophysiological model by Fiala showed a good precision when predicting core and mean skin temperature (rmsd 0.26 and 0.92 °C, respectively) and also local skin temperatures for most body sites (average rmsd for local skin temperatures 1.32 °C). However, an increased deviation of the predictions was observed for the forehead skin temperature (rmsd of 1.63 °C) and for the thigh during exercising exposures (rmsd of 1.41 °C). Possible reasons for the observed deviations are lack of information on measurement circumstances (hair, head coverage interference) or an overestimation of the sweat evaporative cooling capacity for the head and thigh, respectively. This work has highlighted the importance of collecting details about the clothing worn and how and where the sensors were attached to the skin for achieving more precise results in the simulations.