Validation of the thermophysiological model by Fiala for prediction of local skin temperatures
(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:
https://lup.lub.lu.se/record/762a08ce-8621-4eef-9fdd-c20976c74c52
- author
- 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
- organization
- publishing date
- 2016
- 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
- pmid:27225438
- 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
- 2022-01-30 03:53:59
@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}},
keywords = {{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}},
doi = {{10.1007/s00484-016-1184-1}},
volume = {{60}},
year = {{2016}},
}