A Dynamic Human Body Computational Phantom for RF Propagation Study

Published

May 20, 2013

Author(s)

John G. Hagedorn, Kamran Sayrafian, Judith E. Terrill

Abstract

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.

Conference Dates

May 20-22, 2013

Conference Location

Zurich, CH

Conference Title

2013 workshop on Computational Phantoms

Pub Type

Conferences

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Keywords

radio frequency propagation, 3D immersive platform, computational phantom

Citation

Hagedorn, J. , Sayrafian, K. and Terrill, J. (2013), 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 April 24, 2024)