• DocumentCode
    2954975
  • Title

    Circuit-coupled FEM analysis of the electric-field type intra-body communication channel

  • Author

    Xu, Ruoyu ; Zhu, Hongjie ; Yuan, Jie

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Univ. of Sci. & Technol., Kowloon, China
  • fYear
    2009
  • fDate
    26-28 Nov. 2009
  • Firstpage
    221
  • Lastpage
    224
  • Abstract
    The electric-field (EF) intra-body communication (IBC) is a promising data transmission method for high-speed low-power biomedical sensors. A good model of the EF-IBC channel is needed for better understanding the signal propagation principle and more efficient IBC transceiver design. Although various effective models have been developed for the waveguide IBC channel, the EF-IBC channel has only been modeled by empirical distributed RC network. In this paper, a circuit-coupled finite-element-method (FEM) model is established to analyze the EF-IBC channel. A multi-layer FEM model is developed for the human forearm. The parasitic effects of the probe PCBs and the return path are modeled as circuit elements. The circuit-coupled FEM model is simulated in ANSYS. Simulation results show that the model agrees well with the EF-IBC measurements. The circuit-coupled FEM model provides useful insights into the EF-IBC mechanism.
  • Keywords
    bioelectric phenomena; biomedical communication; biomedical electronics; biomedical measurement; finite element analysis; low-power electronics; network analysis; sensors; transceivers; ANSYS; EF-IBC channel; IBC transceiver design; circuit coupled FEM analysis; data transmission method; electric field type intrabody communication channel; empirical distributed RC network; finite element method; high speed low power biomedical sensors; human forearm; probe PCB parasitic effects; signal propagation principle; Biosensors; Circuit analysis; Circuit simulation; Communication channels; Data communication; Finite element methods; Humans; Probes; Signal design; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Circuits and Systems Conference, 2009. BioCAS 2009. IEEE
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4917-0
  • Electronic_ISBN
    978-1-4244-4918-7
  • Type

    conf

  • DOI
    10.1109/BIOCAS.2009.5372045
  • Filename
    5372045