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

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift


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.


  • Natividad Martinez
  • Agnes Psikuta
  • Kalev Kuklane
  • José Ignacio Priego Quesada
  • Rosa María Cibrián Ortiz de Anda
  • Pedro Pérez Soriano
  • Rosario Salvador Palmer
  • José Miguel Corberán
  • René Michel Rossi
  • Simon Annaheim
Enheter & grupper
Externa organisationer
  • Swiss Federal Laboratories for Materials Science and Technology
  • University of Valencia

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Produktionsteknik, arbetsvetenskap och ergonomi
  • Miljömedicin och yrkesmedicin
  • Idrottsvetenskap
  • Bioinformatik (beräkningsbiologi)
  • Fysiologi


Sidor (från-till)1969-1982
Antal sidor14
TidskriftInternational Journal of Biometeorology
StatusPublished - 2016
Peer review utfördJa