A Parametric Computational Analysis Into Galvanic Coupling Intrabody Communication

Intrabody Communication (IBC) uses the human body tissues as transmission media for electrical signals to interconnect personal health devices in wireless body area networks. The main goal of this work is to conduct a computational analysis covering some bioelectric issues that still have not been f...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2018-07, Vol.22 (4), p.1087-1096
Main Authors: Callejon, M. Amparo, del Campo, P., Reina-Tosina, Javier, Roa, Laura M.
Format: Article
Language:English
Subjects:
Analytical models
Anisotropy
Arm - physiology
Attenuation
Bioelectricity
Bioimpedance
Biological system modeling
Body area networks
Computation
Computational modeling
Computer applications
electric current density
Electric fields
Electric Impedance
Electrodes
Equipment Design
Finite Element Analysis
Finite element method
finite element model
galvanic coupling
Galvanic Skin Response - physiology
Humans
intrabody communication
Iron
Male
Models, Biological
Muscles
Occupational health
Parametric analysis
Skin
skin-electrode interface
Telemetry - instrumentation
Telemetry - methods
tissue anisotropy
Tissues
Wireless communications
Wireless networks
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Summary:Intrabody Communication (IBC) uses the human body tissues as transmission media for electrical signals to interconnect personal health devices in wireless body area networks. The main goal of this work is to conduct a computational analysis covering some bioelectric issues that still have not been fully explained, such as the modeling of skin-electrode impedance, the differences associated with the use of constant voltage, or current excitation modes, or the influence on attenuation of the subject's anthropometrical and bioelectric properties. With this aim, a computational finite element model has been developed, allowing the IBC channel attenuation as well as the electric field and current density through arm tissues to be computed as a function of these parameters. As a conclusion, this parametric analysis has in turn permitted us to disclose some knowledge about the causes and effects of the above-mentioned issues, thus, explaining and complementing previous results reported in the literature.
ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2017.2734939