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

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

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dc.contributor.author Martínez Guillamón, Natividad es_ES
dc.contributor.author Psikuta, Agnes es_ES
dc.contributor.author Kuklane, Kalev es_ES
dc.contributor.author Priego Quesada, Jose Ignacio es_ES
dc.contributor.author Cibrián Ortiz De Anda, Rosa María es_ES
dc.contributor.author Pérez Soriano, Pedro es_ES
dc.contributor.author Salvador Palmer, Rosario es_ES
dc.contributor.author Corberán, José M. es_ES
dc.contributor.author Rossi, Rene Michel es_ES
dc.contributor.author Annaheim, Simon es_ES
dc.date.accessioned 2020-04-17T12:47:20Z
dc.date.available 2020-04-17T12:47:20Z
dc.date.issued 2016 es_ES
dc.identifier.issn 0020-7128 es_ES
dc.identifier.uri http://hdl.handle.net/10251/140818
dc.description.abstract [EN] 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 A degrees C, respectively) and also local skin temperatures for most body sites (average rmsd for local skin temperatures 1.32 A degrees C). However, an increased deviation of the predictions was observed for the forehead skin temperature (rmsd of 1.63 A degrees C) and for the thigh during exercising exposures (rmsd of 1.41 A degrees 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. es_ES
dc.description.sponsorship This work has been supported by the State Secretariat for Education, Research and Innovation (SBFI C11.0137) under the grant COST Action TU1101 project (http://www.bicyclehelmets.eu/). The authors gratefully acknowledge Dr. Dusan Fiala from Ergonsim (Germany) for his interesting and open discussion, Dr. Matthew Morrissey from Empa (St. Gallen, Switzerland) for his valuable inputs about evaporative cooling within clothing and Karin Lundgren-Kownacki from Lund University (Lund, Sweden) for her expert interpretation of experimental data in the heat. The authors thank all laboratories kindly providing human experimental data, within bygone COST Action 730: Towards a Universal Thermal Climate Index UTCI for Assessing the Thermal Environment of the Human Being (http://www.utci.org/cost.php), especially to Hanu Rintamaki from Finnish Institute for Occupational Health (Oulu, Finland), Igor Mekjavic from Josef Stefan Institute (Ljubljana, Slovenia) and Emiel den Hartog from TNO (The Hague, Netherlands). es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof International Journal of Biometeorology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Thermophysiological model es_ES
dc.subject Thermophysiology es_ES
dc.subject Skin temperature es_ES
dc.subject Temperature sensors es_ES
dc.subject.classification MAQUINAS Y MOTORES TERMICOS es_ES
dc.title Validation of the thermophysiological model by Fiala for prediction of local skin temperatures es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00484-016-1184-1 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/COST//TU1101/EU/Towards safer bicycling through optimization of bicycle helmets and usage/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/SBFI//C11.0137/CH/Prediction of wearing comfort of bicycle helmets/ es_ES
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biomecánica de Valencia - Institut Universitari Mixt de Biomecànica de València es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Termodinámica Aplicada - Departament de Termodinàmica Aplicada es_ES
dc.description.bibliographicCitation Martínez Guillamón, N.; Psikuta, A.; Kuklane, K.; Priego Quesada, JI.; Cibrián Ortiz De Anda, RM.; Pérez Soriano, P.; Salvador Palmer, R.... (2016). Validation of the thermophysiological model by Fiala for prediction of local skin temperatures. International Journal of Biometeorology. 60(12):1969-1982. https://doi.org/10.1007/s00484-016-1184-1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s00484-016-1184-1 es_ES
dc.description.upvformatpinicio 1969 es_ES
dc.description.upvformatpfin 1982 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 60 es_ES
dc.description.issue 12 es_ES
dc.relation.pasarela S\332613 es_ES
dc.contributor.funder European Cooperation in Science and Technology es_ES
dc.contributor.funder Staatssekretariat für Bildung, Forschung und Innovation, Suiza es_ES
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