4.6 Article

Galvanic Coupling Transmission in Intrabody Communication: A Finite Element Approach

Journal

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Volume 61, Issue 3, Pages 775-783

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TBME.2013.2289946

Keywords

Bioimpedance; channel length; cole-cole model; electric current density; electric field; finite element (fem) model; galvanic coupling; human body tissue; inter-electrode separation; intrabody communication; pathloss

Funding

  1. Consejeria de Economia, Innovacion y Ciencia, Government of Andalucia [P08-TIC-04069, P10-TIC-6214]
  2. Fondo de Investigaciones Sanitarias, Instituto de Salud Carlos III [PI11/00111]
  3. CIBER-BBN under Grant NANOPHOR
  4. VI National R&D&i Plan, Iniciativa Ingenio, Consolider Program
  5. Instituto de Salud Carlos III

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Galvanic coupling in intrabody communication (IBC) is a technique that couples low-power and low-frequency voltages and currents into the human body, which acts as a transmission medium, and thus constitutes a promising approach in the design of personal health devices. Despite important advances being made during recent years, the investigation of relevant galvanic IBC parameters, including the influence of human tissues and different electrode configurations, still requires further research efforts. The objective of this work is to disclose knowledge into IBC galvanic coupling transmission mechanisms by using a realistic 3-D finite element model of the human arm. Unlike other computational models for IBC, we have modeled the differential configuration of the galvanic coupling as a four-port network in order to analyze the electric field distribution and current density through different tissues. This has allowed us to provide an insight into signal transmission paths through the human body, showing them to be considerably dependent on variables such as frequency and inter-electrode distance. In addition, other important variables, for example bioimpedance and pathloss, have also been analyzed. Finally, experimental measurements were also carried out for the sake of validation, demonstrating the reliability of the model to emulate in general forms some of the behaviors observed in practice.

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