Literature DB >> 22736633

Distributed circuit modeling of galvanic and capacitive coupling for intrabody communication.

M Amparo Callejón1, David Naranjo-Hernández, Javier Reina-Tosina, Laura M Roa.   

Abstract

Modeling of intrabody communication (IBC) entails the understanding of the interaction between electromagnetic fields and living tissues. At the same time, an accurate model can provide practical hints toward the deployment of an efficient and secure communication channel for body sensor networks. In the literature, two main IBC coupling techniques have been proposed: galvanic and capacitive coupling. Nevertheless, models that are able to emulate both coupling approaches have not been reported so far. In this paper, a simple model based on a distributed parameter structure with the flexibility to adapt to both galvanic and capacitive coupling has been proposed. In addition, experimental results for both coupling methods were acquired by means of two harmonized measurement setups. The model simulations have been subsequently compared with the experimental data, not only to show their validity but also to revise the practical frequency operation range for both techniques. Finally, the model, along with the experimental results, has also allowed us to provide some practical rules to optimally tackle IBC design.

Mesh:

Year:  2012        PMID: 22736633     DOI: 10.1109/TBME.2012.2205382

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  6 in total

1.  Modeling and characterization of the implant intra-body communication based on capacitive coupling using a transfer function method.

Authors:  Kai Zhang; Qun Hao; Yong Song; Jingwen Wang; Ruobing Huang; Yue Liu
Journal:  Sensors (Basel)       Date:  2014-01-20       Impact factor: 3.576

2.  Signal transmission in a human body medium-based body sensor network using a Mach-Zehnder electro-optical sensor.

Authors:  Yong Song; Qun Hao; Kai Zhang; Jingwen Wang; Xuefeng Jin; He Sun
Journal:  Sensors (Basel)       Date:  2012-11-30       Impact factor: 3.576

3.  Study of channel characteristics for galvanic-type intra-body communication based on a transfer function from a quasi-static field model.

Authors:  Xi Mei Chen; Peng Un Mak; Sio Hang Pun; Yue Ming Gao; Chan-Tong Lam; Mang I Vai; Min Du
Journal:  Sensors (Basel)       Date:  2012-11-27       Impact factor: 3.576

4.  Biometric Identity Based on Intra-Body Communication Channel Characteristics and Machine Learning.

Authors:  Ahmed E Khorshid; Ibrahim N Alquaydheb; Fadi Kurdahi; Roger Piqueras Jover; Ahmed Eltawil
Journal:  Sensors (Basel)       Date:  2020-03-05       Impact factor: 3.576

5.  Investigation and Modeling of Multi-Node Body Channel Wireless Power Transfer.

Authors:  Yuxuan Huang; Jian Zhao; Wenyu Sun; Huazhong Yang; Yongpan Liu
Journal:  Sensors (Basel)       Date:  2019-12-25       Impact factor: 3.576

6.  Stochastic Bioimpedance-Based Channel Model of The Human Body for Galvanic Coupling.

Authors:  Aaron Roopnarine; Sean A Rocke
Journal:  J Electr Bioimpedance       Date:  2021-12-27
  6 in total

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