A Dynamic Human Body Computational Phantom for RF Propagation Study
John G. Hagedorn, Kamran Sayrafian, Judith E. Terrill
Recent advances in micro-electronics technology to build small radio-enabled implantable and wearable medical sensors have sparked considerable interest in further understanding the characteristics of radio frequency propagation inside the human body. As physical experiment with human subjects is either difficult or in some cases impossible to carry out, computational phantoms offer an attractive alternative for researchers in this area. However, computational phantoms used in the literature to study such propagation characteristics are mostly static. As body motion could significantly impact the wireless communication between implants and wearable medical sensors, a dynamic computational phantom capable of emulating human motion would be a valuable tool to study and understand this impact. Here, we describe the development of a dynamic posable computational phantom for the full human body. This enhanced phantom will be used to study dynamic implant channels in a network consisting of implants and wearable sensors. Our methodology and tools along with problems encountered and their solutions are briefly discussed in this paper.
, Sayrafian, K.
and Terrill, J.
A Dynamic Human Body Computational Phantom for RF Propagation Study, 2013 workshop on Computational Phantoms, Zurich, CH, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=913544
(Accessed May 20, 2022)