Mathematical Modeling of Human Thermoregulation: A Neurophysiological Approach to Vasoconstriction View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2012

AUTHORS

Boris R. M. Kingma , Arjan J. H. Frijns , Wim H. Saris , Anton A. van Steenhoven , Wouter D. van Marken Lichtenbelt

ABSTRACT

Skin blood flow is of major importance in human thermoregulation. Classic thermoregulation models require an explicit set point to control temperature. Normally such a set point is defined in the unit of the controlled variable (i.e. Celsius). However, the human body does not sense temperature directly, instead temperature information is coded into neuron fire rates. Here we explored the neurophysiology of thermoregulation to develop a mathematical model of skin blood flow that does not require a set point. The model was developed on measurement data of skin temperature, core temperature and skin blood flow and was validated using k-fold cross validation. The model explained over 90% of the variance in the measurements (r2=0.91). Hence, the results are promising and indicate that emulation of thermoregulatory neurophysiology is able to capture the dynamics of skin blood flow control. More... »

PAGES

307-316

References to SciGraph publications

Book

TITLE

Computational Intelligence

ISBN

978-3-642-27533-3
978-3-642-27534-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-27534-0_20

DOI

http://dx.doi.org/10.1007/978-3-642-27534-0_20

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037422767


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148 schema:name Department of Mechanical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
149 rdf:type schema:Organization
 




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