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
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