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Channel Models for Medical Implant Communication

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Abstract

Information regarding the propagation media is typically gathered by conducting physical experiments, measuring and processing the corresponding data to obtain channel characteristics. When this propagation media is human body, for example in case of medical implants, then this approach might not be practical. In this paper, an immersive visualization environment is presented, which is used as a scientific instrument that gives us the ability to observe RF propagation from medical implants inside a human body. This virtual environment allows for more natural interaction between experts with different backgrounds, such as engineering and medical sciences. Here, we show how this platform has been used to determine channel models for medical implant communication systems.

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Notes

  1. HFSS is registered trademark of ANSYS Inc. The HFSS has been used in this research to foster understanding. Such identification does not imply recommendation or endorsement by the National Institute of Standards and Technology, nor does it imply that this product is necessarily the best available for the purpose.

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Acknowledgment

The authors would like to thank Mr. Steven Satterfield from the high performance computing and visualization group of the Applied and Computational Mathematics Division, ITL, for his assistance in the system setup and his ongoing contribution in the development of tools for the NIST immersive visualization system.

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Authors and Affiliations

  1. Information Technology Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA

    Kamran Sayrafian-Pour, Wen-Bin Yang, John Hagedorn & Judith Terrill

  2. National Institute of Information and Communications Technology (NICT), Yokosuka, Japan

    Kamya Yekeh Yazdandoost & Kiyoshi Hamaguchi

Authors
  1. Kamran Sayrafian-Pour
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  2. Wen-Bin Yang
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  3. John Hagedorn
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  4. Judith Terrill
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  5. Kamya Yekeh Yazdandoost
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  6. Kiyoshi Hamaguchi
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Corresponding author

Correspondence to Kamran Sayrafian-Pour.

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Sayrafian-Pour, K., Yang, WB., Hagedorn, J. et al. Channel Models for Medical Implant Communication. Int J Wireless Inf Networks 17, 105–112 (2010). https://doi.org/10.1007/s10776-010-0124-y

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  • DOI: https://doi.org/10.1007/s10776-010-0124-y

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