The ability to predict local surface and internal temperatures in humans subjected to various environmental and direct thermal loads has applications which include assessment of human exposure to radio frequency radiation (RFR) from mobile phones [1], medical imaging technologies [2] and mild-temperature hyperthermia (MTH) treatment for some cancers [3]. Numerous analytical and computational tools have been developed for the purpose of predicting tissue temperature changes in humans subjected to various thermal environments. Most previous whole-body models have been compartment or lumped-element models which lack anatomical detail. Such models are not capable of evaluating effects of non-uniform heating or cooling loads, differences in body type, or effects associated with subject body positioning (standing, sitting, reclining). The objectives of this work are (1) demonstrate a new high-resolution (2.0 mm) voxel model which incorporates active and passive thermoregulation, and (2) validate the model by comparing results with results from a compartment model, and with published experimental measurements in humans exposed to warm and hot environments.
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