Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers

Research Article

A Distributed-Parameter Approach to Model Galvanic and Capacitive Coupling for Intra-body Communications

Download88 downloads
  • @INPROCEEDINGS{10.1007/978-3-642-29734-2_1,
        author={M. Callej\^{o}n and Javier Reina-Tosina and Laura Roa and David Naranjo},
        title={A Distributed-Parameter Approach to Model Galvanic and Capacitive Coupling for Intra-body Communications},
        proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers},
        proceedings_a={MOBIHEALTH},
        year={2012},
        month={10},
        keywords={Attenuation capacitive coupling distributed parameter circuit electrophysiological properties galvanic coupling intra-body communication skin admittance},
        doi={10.1007/978-3-642-29734-2_1}
    }
    
  • M. Callejón
    Javier Reina-Tosina
    Laura Roa
    David Naranjo
    Year: 2012
    A Distributed-Parameter Approach to Model Galvanic and Capacitive Coupling for Intra-body Communications
    MOBIHEALTH
    Springer
    DOI: 10.1007/978-3-642-29734-2_1
M. Callejón1,*, Javier Reina-Tosina, Laura Roa,*, David Naranjo,*
  • 1: University of Seville
*Contact email: mcallejon@us.es, lroa@us.es, dnaranjo@us.es

Abstract

In this paper, we propose a simple, but accurate propagation model through the skin based on a distributed-parameter circuit that leads to the obtaining of simple and general attenuation expressions for both galvanic and capacitive coupling methods that could assist in the design of Intra-body Communications (IBC) systems. The objective of this model is to study the influence of the skin impedance in the propagation characteristics of a particular signal. In order to depict that skin impedance, the model is based on the major electro-physiological properties of the skin, which also allows a personalized model. Simulation results have been successfully compared with several published results, thus showing the tuning capability of the model to different experimental conditions.