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Validation of the t...
Validation of the thermophysiological model by Fiala for prediction of local skin temperatures
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- Martinez, Natividad (author)
- Swiss Federal Laboratories for Materials Science and Technology,University of Valencia
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- Psikuta, Agnes (author)
- Swiss Federal Laboratories for Materials Science and Technology
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- Kuklane, Kalev (author)
- Lund University,Lunds universitet,Ergonomi och aerosolteknologi,Institutionen för designvetenskaper,Institutioner vid LTH,Lunds Tekniska Högskola,Ergonomics and Aerosol Technology,Department of Design Sciences,Departments at LTH,Faculty of Engineering, LTH
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- Priego Quesada, José Ignacio (author)
- University of Valencia
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- Cibrián Ortiz de Anda, Rosa María (author)
- University of Valencia
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- Pérez Soriano, Pedro (author)
- University of Valencia
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- Salvador Palmer, Rosario (author)
- University of Valencia
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- Corberán, José Miguel (author)
- University of Valencia
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- Rossi, René Michel (author)
- Swiss Federal Laboratories for Materials Science and Technology
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- Annaheim, Simon (author)
- Swiss Federal Laboratories for Materials Science and Technology
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(creator_code:org_t)
- 2016-05-25
- 2016
- English 14 s.
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In: International Journal of Biometeorology. - : Springer Science and Business Media LLC. - 1432-1254 .- 0020-7128. ; 60:12, s. 1969-1982
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Produktionsteknik, arbetsvetenskap och ergonomi (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Production Engineering, Human Work Science and Ergonomics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Arbetsmedicin och miljömedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Occupational Health and Environmental Health (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Idrottsvetenskap (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Sport and Fitness Sciences (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Fysiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Physiology (hsv//eng)
Keyword
- Thermophysiological model
- Thermophysiology
- Skin temperature
- Temperature sensors
Publication and Content Type
- art (subject category)
- ref (subject category)
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