With the trained ANN model, the field exposure level in human tissues can be examined quickly. Moreover, due to the small electric size of the human head at the MHz frequency range, highly simplified models can be extracted with great promise. This work is in progress and can enable efficient SAR predictions for even highly realistic models. Future work will focus on expanding the scope of ANN modeling to a much larger category of human models and testing the approach with realistic near-field exposures up to GHz frequencies. These ongoing studies will undoubtedly advance our understanding of the interactions between EM fields and human tissues, with important implications for Bio-EM research.
Ansprechpartner
M.Sc. Hamideh Esmaeili
Dr. Cheng Yang
Institut für Theoretische Elektrotechnik
Technische Universität Hamburg (TUHH)
Blohmstraße 15, 21079 Hamburg, Germany
E-Mail: hamideh.esmaeili(at)tuhh.de
cheng.yang(at)tuhh.de
Reference:
[1] C.Yang, "Bridging the Modeling Gap: Huygens' Principle for Brain Implants", News from research [online] https://www.tuhh.de/tuhh/forschung/neues-aus-der-forschung/bridging-the-modeling-gap-huygens-principle-for-brain-implants-2.
[2] C. Yang, M. Schierholz, E. Trunczik, L.M. Helmich, H.D. Brüns, and C. Schuster, “Efficient and Flexible Huygens’ Source Replacement of mm-scale Human Brain Implant”, Joint IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity, EMC Europe, 2021.
[3] H. Esmaeili, C. Yang and C. Schuster, "Flexible Numerical Evaluation of Human Head Exposure to a Transmitter Coil for Wireless Power Transfer at 13.56MHz," International Symposium on Electromagnetic Compatibility, EMC Europe, 2022.
[4] H. Esmaeili, C. Yang and C. Schuster, "SAR Prediction in Human Head Tissues with Varying Material Parameters Using an Artificial Neural Network", Accepted for presentation on Bioelectromagnetics 2023, UK.