On ultra wideband channel modeling for in-body communications

  • Authors:

  • A. Khaleghi;R. Chávez-Santiago;X. Liang;I. Balasingham;V. C. M. Leung;T. A. Ramstad

  • Affiliations:

  • The Interventional Centre, Oslo University Hospital, Norway and Institute of Clinical Medicine, University of Oslo, Norway;The Interventional Centre, Oslo University Hospital, Norway and Dept. of Electronics and Telecommun., Norwegian University of Science and Technol., Norway and Institute of Clinical Medicine, Unive ...;The Interventional Centre, Oslo University Hospital, Norway;The Interventional Centre, Oslo University Hospital, Norway and Dept. of Electronics and Telecommun., Norwegian University of Science and Technol., Norway and Institute of Clinical Medicine, Unive ...;Dept. of Electrical and Computer Engineering, University of British Columbia, Canada;Dept. of Electronics and Telecommun., Norwegian University of Science and Technol., Norway

  • Venue:
  • ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
  • Year:
  • 2010

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Abstract

Innovative medical applications such as implant wireless sensors for health monitoring, automatic drug deliverance, etc. can be realized with the use of ultra wideband (UWB) radio technology. Nevertheless, for efficient design of wireless systems operating inside the human body a radio communication channel model is essential. Although a lot of research effort has recently been devoted to the characterization of the on-body UWB radio communication channel, just a few works describing the radio propagation inside the human body have been reported. To address this problem, a computational study of the propagation of UWB signals through human tissues in the 0.1-1 GHz and 1-6 GHz frequency bands is presented in this paper. This is based on numerical simulations using a heterogeneous anatomical model of the human body with frequency dependent tissue material properties. Subsequently, a statistical channel model is introduced for UWB in-body communications in the 1-6 GHz frequency band. The model is provided for two typical depths inside the human chest. This work contributes to the practical design of UWB medical implant communication systems.