Stochastic Dosimetry for Radio-Frequency Exposure Assessment in Realistic Scenarios

Stochastic dosimetry, combining electromagnetic computational techniques and statistics to build surrogate models, allows assessing exposure to EMF accounting for variability and uncertainty intrinsic of real scenarios. In this study, we present some examples of exposure assessment of children and fetuses to RF devices in uncertain scenarios using stochastic dosimetry. Polynomial chaos expansions and low rank tensor approximations, applied to build surrogate models of Specific Absorption Rate (SAR), permitted a fast estimation of the variability of the exposure due to the variation in the RF source position.