N.B. Rubtsova, S.Yu. Perov
Radiofrequency (RF) electromagnetic field (EMF) dosimetry studies the absorption of electromagnetic energy inside the human body. The absorbed energy is measured in terms of the specific absorption rate (SAR), which is linked with possible adverse thermal effects of RF electromagnetic fields exposure. Last years with advances in computational power and accurate numerical models of the human anatomy, computational methods have gained an increasingly significance in RF dosimetry. The finite-difference time-domain (FDTD) method is the most widely used numerical technique in computational RF dosimetry today.
Computational analysis of the SAR features of many patterns and approximation allows evaluating possible errors and uncertainty. The target of this paper is to study of possibility of SAR reliably by FDTD method, as well as different factors influence to accuracy of mathematical model solving.
Data analyses allow determining and evaluating possible uncertainty factors and sources of errors in computational RF dosimetry that will produce additional errors and lead to instability of solution under exposure evaluation. Uncertainty and accuracy of the methods studying allows computational requirements decrease as well as simulations accuracy elevates.