Literature DB >> 29570058

A Five-Tissue-Layer Human Body Communication Circuit Model Tunable to Individual Characteristics.

Jingna Mao, Huazhong Yang, Yong Lian, Bo Zhao.   

Abstract

Human body communication (HBC) has several advantages over traditional wireless communications due to the high conductivity of human body. An accurate body channel model plays a vital role in optimizing the performance and power of HBC transceivers. In this paper, we present a body channel model with three distinct features. First, it takes into account all five body tissue layers resulting better accuracy; second, it adapts to different individuals with the proposed layer thickness estimation technique; third, it counts in the variation of backward coupling capacitance versus different postures. These new features significantly improve the model accuracy. Measurement results show that the proposed model achieves a maximum error of 2.21% in path loss for different human subjects.

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Year:  2018        PMID: 29570058     DOI: 10.1109/TBCAS.2018.2798410

Source DB:  PubMed          Journal:  IEEE Trans Biomed Circuits Syst        ISSN: 1932-4545            Impact factor:   3.833


  2 in total

1.  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

2.  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

  2 in total

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