Literature DB >> 21724520

Quasi-static modeling of human limb for intra-body communications with experiments.

Sio Hang Pun1, Yue Ming Gao, PengUn Mak, Mang I Vai, Min Du.   

Abstract

In recent years, the increasing number of wearable devices on human has been witnessed as a trend. These devices can serve for many purposes: personal entertainment, communication, emergency mission, health care supervision, delivery, etc. Sharing information among the devices scattered across the human body requires a body area network (BAN) and body sensor network (BSN). However, implementation of the BAN/BSN with the conventional wireless technologies cannot give optimal result. It is mainly because the high requirements of light weight, miniature, energy efficiency, security, and less electromagnetic interference greatly limit the resources available for the communication modules. The newly developed intra-body communication (IBC) can alleviate most of the mentioned problems. This technique, which employs the human body as a communication channel, could be an innovative networking method for sensors and devices on the human body. In order to encourage the research and development of the IBC, the authors are favorable to lay a better and more formal theoretical foundation on IBC. They propose a multilayer mathematical model using volume conductor theory for galvanic coupling IBC on a human limb with consideration on the inhomogeneous properties of human tissue. By introducing and checking with quasi-static approximation criteria, Maxwell's equations are decoupled and capacitance effect is included to the governing equation for further improvement. Finally, the accuracy and potential of the model are examined from both in vitro and in vivo experimental results.

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Year:  2011        PMID: 21724520     DOI: 10.1109/TITB.2011.2161093

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  8 in total

1.  Effects of human limb gestures on galvanic coupling intra-body communication for advanced healthcare system.

Authors:  Xi Mei Chen; Sio Hang Pun; Jian Feng Zhao; Peng Un Mak; Bo Dong Liang; Mang I Vai
Journal:  Biomed Eng Online       Date:  2016-05-26       Impact factor: 2.819

2.  The Modeling and Simulation of the Galvanic Coupling Intra-Body Communication via Handshake Channel.

Authors:  Maoyuan Li; Yong Song; Wansong Li; Guangfa Wang; Tianpeng Bu; Yufei Zhao; Qun Hao
Journal:  Sensors (Basel)       Date:  2017-04-14       Impact factor: 3.576

3.  A Variable-Volume Heart Model for Galvanic Coupling-Based Conductive Intracardiac Communication.

Authors:  Yiming Liu; Yueming Gao; Liting Chen; Tao Liu; Jiejie Yang; Siohang Pun; Mangi Vai; Min Du
Journal:  Sensors (Basel)       Date:  2022-06-12       Impact factor: 3.847

4.  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

5.  Dynamic propagation channel characterization and modeling for human body communication.

Authors:  Zedong Nie; Jingjing Ma; Zhicheng Li; Hong Chen; Lei Wang
Journal:  Sensors (Basel)       Date:  2012-12-18       Impact factor: 3.576

6.  A Novel Field-Circuit FEM Modeling and Channel Gain Estimation for Galvanic Coupling Real IBC Measurements.

Authors:  Yue-Ming Gao; Zhu-Mei Wu; Sio-Hang Pun; Peng-Un Mak; Mang-I Vai; Min Du
Journal:  Sensors (Basel)       Date:  2016-04-02       Impact factor: 3.576

7.  Investigation of implantable signal transmission characteristics based on visible data of the human leg.

Authors:  Yue-Ming Gao; Yan-Ting Ye; Shi Lin; Željka Lučev Vasić; Mang-I Vai; Min Du; Mario Cifrek; Sio-Hang Pun
Journal:  Biomed Eng Online       Date:  2017-07-04       Impact factor: 2.819

8.  Electrical exposure analysis of galvanic-coupled intra-body communication based on the empirical arm models.

Authors:  Yue-Ming Gao; Heng-Fei Zhang; Shi Lin; Rui-Xin Jiang; Zhi-Ying Chen; Željka Lučev Vasić; Mang-I Vai; Min Du; Mario Cifrek; Sio-Hang Pun
Journal:  Biomed Eng Online       Date:  2018-06-05       Impact factor: 2.819

  8 in total

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