IMR Press / FBS / Volume 2 / Issue 3 / DOI: 10.2741/S112

Frontiers in Bioscience-Scholar (FBS) is published by IMR Press from Volume 13 Issue 1 (2021). Previous articles were published by another publisher on a subscription basis, and they are hosted by IMR Press on as a courtesy and upon agreement with Frontiers in Bioscience.

Physiological modeling for technical, clinical and research applications
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1 ErgonSim, Comfort Energy Efficiency, Holderbuschweg 47, D-7056 Stuttgart, Germany
2 IBBTE, University of Stuttgart, Keplerstr. 11, 70174 Stuttgart, Germany
3 Empa, Swiss Federal Laboratories for Materials Testing & Research, Laboratory for Protection and Physiology, Lerchenfeldstrasse 5, CH-9014 St. Gallen, Switzerland
4 Meteorological Institute, University of Freiburg, Werthmannstr. 10, D-79085 Freiburg, Germany
5 P+Z Engineering GmbH, Anton-Ditt-Bogen 3, D-80939 Munich, Germany
6 Department of Mechanical Engineering, University of South Alabama, EGCB 212, 307 University Blvd N. Mobile, AL 36688-0002, USA
7 Department of Human Biology, Maastricht University, P.O. Box 616, 6200 MD Maastricht, The Netherlands
8 Department of Energy Technology, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands

*Author to whom correspondence should be addressed.

Academic Editor: Clark Blatteis

Front. Biosci. (Schol Ed) 2010, 2(3), 939–968;
Published: 1 June 2010
(This article belongs to the Special Issue Frontiers in thermoregulation research)

Various and disparate technical disciplines have identified a growing need for tools to predict human thermal and thermoregulatory responses to environmental heating and cooling and other thermal challenges such as anesthesia and non-ionizing radiation. In this contribution, a dynamic simulation model is presented and used to predict human thermophysiological and perceptual responses for different applications and situations. The multi-segmental, multi-layered mathematical model predicts body temperatures, thermoregulatory responses, and components of the environmental heat exchange in cold, moderate, as well as hot stress conditions. The incorporated comfort model uses physiological states of the human body to predict thermal sensation responses to steady state and transient conditions. Different validation studies involving climate-chamber physiological and thermal comfort experiments, exposures to uncontrolled outdoor weather conditions, extreme climatic and radiation asymmetry scenarios revealed the model to predict physiological and perceptual responses typically within the standard deviation of the experimental observations. Applications of the model in biometeorology, clothing research, the car industry, clinical and safety applications are presented and discussed.

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