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

Martinez, Natividad; Psikuta, Agnes; Kuklane, Kalev LU ; Priego Quesada, José Ignacio; Cibrián Ortiz de Anda, Rosa María; Pérez Soriano, Pedro; Salvador Palmer, Rosario; Corberán, José Miguel; Rossi, René Michel and Annaheim, Simon (2016) In International Journal of Biometeorology 60(12). p.1969-1982
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Thermophysiological model, Thermophysiology, Skin temperature, Temperature sensors
in
International Journal of Biometeorology
volume
60
issue
12
pages
14 pages
publisher
Springer
external identifiers
  • scopus:84970023754
  • wos:000389352200017
ISSN
1432-1254
DOI
10.1007/s00484-016-1184-1
language
English
LU publication?
yes
id
762a08ce-8621-4eef-9fdd-c20976c74c52
date added to LUP
2016-06-06 12:23:25
date last changed
2017-11-19 04:31:22
@article{762a08ce-8621-4eef-9fdd-c20976c74c52,
  abstract     = {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.},
  author       = {Martinez, Natividad and Psikuta, Agnes and Kuklane, Kalev and Priego Quesada, José Ignacio and Cibrián Ortiz de Anda, Rosa María and Pérez Soriano, Pedro and Salvador Palmer, Rosario and Corberán, José Miguel and Rossi, René Michel and Annaheim, Simon},
  issn         = {1432-1254},
  keyword      = {Thermophysiological model,Thermophysiology,Skin temperature,Temperature sensors},
  language     = {eng},
  number       = {12},
  pages        = {1969--1982},
  publisher    = {Springer},
  series       = {International Journal of Biometeorology},
  title        = {Validation of the thermophysiological model by Fiala for prediction of local skin temperatures},
  url          = {http://dx.doi.org/10.1007/s00484-016-1184-1},
  volume       = {60},
  year         = {2016},
}