Literature DB >> 23542945

A survey on intrabody communications for body area network applications.

MirHojjat Seyedi1, Behailu Kibret, Daniel T H Lai, Michael Faulkner.   

Abstract

The rapid increase in healthcare demand has seen novel developments in health monitoring technologies, such as the body area networks (BAN) paradigm. BAN technology envisions a network of continuously operating sensors, which measure critical physical and physiological parameters e.g., mobility, heart rate, and glucose levels. Wireless connectivity in BAN technology is key to its success as it grants portability and flexibility to the user. While radio frequency (RF) wireless technology has been successfully deployed in most BAN implementations, they consume a lot of battery power, are susceptible to electromagnetic interference and have security issues. Intrabody communication (IBC) is an alternative wireless communication technology which uses the human body as the signal propagation medium. IBC has characteristics that could naturally address the issues with RF for BAN technology. This survey examines the on-going research in this area and highlights IBC core fundamentals, current mathematical models of the human body, IBC transceiver designs, and the remaining research challenges to be addressed. IBC has exciting prospects for making BAN technologies more practical in the future.

Entities:  

Mesh:

Year:  2013        PMID: 23542945     DOI: 10.1109/TBME.2013.2254714

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


  14 in total

1.  Authenticated Key Agreement Scheme with Strong Anonymity for Multi-Server Environment in TMIS.

Authors:  Hui Qiao; Xuewen Dong; Yulong Shen
Journal:  J Med Syst       Date:  2019-10-07       Impact factor: 4.460

2.  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

3.  Public Auditing with Privacy Protection in a Multi-User Model of Cloud-Assisted Body Sensor Networks.

Authors:  Song Li; Jie Cui; Hong Zhong; Lu Liu
Journal:  Sensors (Basel)       Date:  2017-05-05       Impact factor: 3.576

4.  Characterization of Impulse Radio Intrabody Communication System for Wireless Body Area Networks.

Authors:  Zibo Cai; MirHojjat Seyedi; Weiwei Zhang; Francois Rivet; Daniel T H Lai
Journal:  J Med Biol Eng       Date:  2017-01-06       Impact factor: 1.553

5.  Modeling and Characterization of Capacitive Coupling Intrabody Communication in an In-Vehicle Scenario.

Authors:  Yuan Xu; Zhonghua Huang; Shize Yang; Zhiqi Wang; Bing Yang; Yinlin Li
Journal:  Sensors (Basel)       Date:  2019-10-04       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

Review 7.  A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments.

Authors:  Mohammad Ghamari; Balazs Janko; R Simon Sherratt; William Harwin; Robert Piechockic; Cinna Soltanpur
Journal:  Sensors (Basel)       Date:  2016-06-07       Impact factor: 3.576

8.  Mutual-Information-Based Incremental Relaying Communications for Wireless Biomedical Implant Systems.

Authors:  Yangzhe Liao; Mark S Leeson; Qing Cai; Qingsong Ai; Quan Liu
Journal:  Sensors (Basel)       Date:  2018-02-08       Impact factor: 3.576

9.  Neural Monitoring With CMOS Image Sensors.

Authors:  Azar Yadegari; Mohammad Azim Karami; Mohammad Reza Daliri
Journal:  Basic Clin Neurosci       Date:  2018 May-Jun

10.  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

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