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A Preliminary Study of RF Propagation for High Data Rate Brain Telemetry

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Body Area Networks. Smart IoT and Big Data for Intelligent Health Management (BODYNETS 2021)

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Abstract

This paper presents the preliminary results of a study on the radio frequency (RF) propagation inside the human skull at several Industrial, Scientific and Medical (ISM) and ultrawideband UWB frequencies. These frequency bands are considered as possible candidates for high data rate wireless brain telemetry. The study is conducted using a high-resolution 3D computational model of the human head. Power flow analysis is conducted to visualize propagation inside the brain for two different on-body antenna locations. Furthermore, channel attenuation between an on-body directional mini-horn antenna and an implant antenna at different depths inside the brain is evaluated. It is observed that radio frequency propagation at 914 MHz sufficiently covers the whole volume of the brain. The coverage reduces at higher frequencies, specially above 3.1 GHz. The objective of this comparative analysis is to provide some insight on the applicability of these frequencies for high data rate brain telemetry or various monitoring, and diagnostic tools.

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    Commercial products mentioned in this paper are merely intended to foster understanding. Their identification does not imply recommendation or endorsement by National Institute of Standards & Technology.

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Acknowledgment

This work is supported by Academy of Finland 6Genesis Flagship (grant 318927) and the European Union’s Horizon 2020 programme under the Marie Sklodowska-Curie grant agreement No. 872752. Mikko Linnanmäki from ExcellAnt is acknowledged for UWB capsule antenna’s redesign based in documentation given in [29]. Mikko Parkkila and Uzman Ali from Radientum is acknowledged for mini-horn antenna re-design based on documentation in [28].

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Authors and Affiliations

  1. Centre for Wireless Communications, University of Oulu, Oulu, Finland

    Mariella Särestöniemi, Teemu Myllylä & Jari Iinatti

  2. Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland

    Mariella Särestöniemi

  3. Purdue University of Technology, West Lafayette, USA

    Carlos Pomalaza-Raez

  4. National Institute of Standards and Technology, Gaithersburg, MD, USA

    Kamran Sayrafian

  5. Optoelectronics and Measurement Techniques Research Unit, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland

    Teemu Myllylä

Authors
  1. Mariella Särestöniemi
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  2. Carlos Pomalaza-Raez
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  3. Kamran Sayrafian
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  4. Teemu Myllylä
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  5. Jari Iinatti
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Corresponding author

Correspondence to Mariella Särestöniemi .

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Editors and Affiliations

  1. University of Glasgow, Glasgow, UK

    Masood Ur Rehman

  2. University of Glasgow, Glasgow, UK

    Ahmed Zoha

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Särestöniemi, M., Pomalaza-Raez, C., Sayrafian, K., Myllylä, T., Iinatti, J. (2022). A Preliminary Study of RF Propagation for High Data Rate Brain Telemetry. In: Ur Rehman, M., Zoha, A. (eds) Body Area Networks. Smart IoT and Big Data for Intelligent Health Management. BODYNETS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-030-95593-9_11

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  • DOI: https://doi.org/10.1007/978-3-030-95593-9_11

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  • Online ISBN: 978-3-030-95593-9

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