TY - JOUR
T1 - Effect of local skin blood flow during light and medium activities on local skin temperature predictions
AU - Vesela, Stephanie
AU - Kingma, Boris R. M.
AU - Frijns, Arjan J. H.
AU - van Marken Lichtenbelt, Wouter D.
N1 - Funding Information:
The authors like to thank the participants of this study for their time and cooperation. A special thank also to the technical and scientific staff of Maastricht University that made this study possible. Furthermore, we would like to thank TKI Energo and TKI Solar Energy for the received funding (TEGB|13023).
Funding Information:
The study received funding from TKI Energo and TKI Solar Energy (TEGB|13023).
Publisher Copyright:
© 2019 The Authors
PY - 2019/8
Y1 - 2019/8
N2 - The quality of local skin temperature prediction by thermophysiological models depends on the local skin blood flow (SBF) control functions. These equations were derived for low activity levels (0.8 - 1 met) and mostly in sitting or supine position. This study validates and discusses the prediction of foot SBF during activities of 1 - 3 met in male and females, and the effect on the foot skin temperature prediction (Delta T-skin,T- foot) using the thermophysiological simulation model ThermoSEM. The SBF at the foot was measured for ten male and ten female human subjects at baseline and during three activities (sitting, walking at 1 km/h, preferred walking around 3 km/h). Additional measurements included the energy expenditure, local skin temperatures (T-skin,T- loc), environmental conditions and body composition. Measured, normalized foot SBF is 2-8 times higher than the simulated SBF during walking sessions. Also, SBF increases are significantly higher in females vs. males (preferred walking: 4.8 +/- 1.5 versus 2.7 +/- 1.4, P <0.05). The quality of Delta T-skin,T- foot using the simulated foot SBF is poor (median deviation is - 4.8 degrees C, maximumum deviation is - 6 degrees C). Using the measured SBF in ThermoSEM results in an improved local skin temperature prediction (new maximum deviation is - 3.3 degrees C). From these data a new SBF model was developed that includes the walking activity level and gender, and improves SBF prediction and Delta T-skin,T- foot of the thermophysiological model. Accurate SBF and local skin temperature predictions are beneficial in optimizing thermal comfort simulations in the built environment, and might also be applied in sport science or patient's temperature management.
AB - The quality of local skin temperature prediction by thermophysiological models depends on the local skin blood flow (SBF) control functions. These equations were derived for low activity levels (0.8 - 1 met) and mostly in sitting or supine position. This study validates and discusses the prediction of foot SBF during activities of 1 - 3 met in male and females, and the effect on the foot skin temperature prediction (Delta T-skin,T- foot) using the thermophysiological simulation model ThermoSEM. The SBF at the foot was measured for ten male and ten female human subjects at baseline and during three activities (sitting, walking at 1 km/h, preferred walking around 3 km/h). Additional measurements included the energy expenditure, local skin temperatures (T-skin,T- loc), environmental conditions and body composition. Measured, normalized foot SBF is 2-8 times higher than the simulated SBF during walking sessions. Also, SBF increases are significantly higher in females vs. males (preferred walking: 4.8 +/- 1.5 versus 2.7 +/- 1.4, P <0.05). The quality of Delta T-skin,T- foot using the simulated foot SBF is poor (median deviation is - 4.8 degrees C, maximumum deviation is - 6 degrees C). Using the measured SBF in ThermoSEM results in an improved local skin temperature prediction (new maximum deviation is - 3.3 degrees C). From these data a new SBF model was developed that includes the walking activity level and gender, and improves SBF prediction and Delta T-skin,T- foot of the thermophysiological model. Accurate SBF and local skin temperature predictions are beneficial in optimizing thermal comfort simulations in the built environment, and might also be applied in sport science or patient's temperature management.
KW - Thermoregulation
KW - Local skin blood flow
KW - Mathematical modelling
KW - Local skin temperature
KW - HUMAN THERMOREGULATION
KW - THERMOPHYSIOLOGICAL MODEL
KW - INDIVIDUALIZED MODEL
KW - THERMAL SENSATION
KW - WIDE-RANGE
KW - PERFORMANCE
KW - RESPONSES
KW - COMFORT
KW - VALIDATION
KW - PHYSIOLOGY
U2 - 10.1016/j.jtherbio.2019.07.033
DO - 10.1016/j.jtherbio.2019.07.033
M3 - Article
C2 - 31466784
SN - 0306-4565
VL - 84
SP - 439
EP - 450
JO - Journal of Thermal Biology
JF - Journal of Thermal Biology
ER -