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Channel Characteristics Analysis of Galvanic Coupling Intra-Body Communication
Jia Wen Li1; Xi Mei Chen2; Booma Devi Sekar3; Chan Tong Lam4; Min Du5; Peng Un Mak6; Mang I. Vai7; Yue Ming Gao5; Sio Hang Pun7
2022-09
Source PublicationIEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology
ISSN2469-7249
Volume6Issue:3Pages:364-372
Abstract

Intra-Body Communication (IBC), which employs the human body as the channel to transmit health informatics, is a potential approach for connecting wearable and implantable devices. Undoubtedly, its channel characteristics provide deep insights to select parameters that are beneficial for the physical layer design of the Body Area Network (BAN). Nevertheless, such analysis has not been systematically addressed. To this end, the transfer function from the quasi-static model in the electromagnetic field is considered at first. Then, the linearity of the galvanic coupling IBC channel is verified. Besides, the proper frequency band for data transmission is investigated using the water-filling algorithm. Moreover, the theoretical Bit Error Rate (BER) performances of different modulations are studied. Results revealed that the galvanic coupling IBC channel can be modeled as a linear band-limited Additive White Gaussian Noise (AWGN) channel. Finally, suitable modulations for various scenarios are discussed based on the channel characteristics found. Consequently, this work can further enrich the design of the IBC for medical applications.

KeywordAdditive White Gaussian Noise (Awgn) Bit Error Rate (Ber) Modulation Water-filling Algorithm Channel Characteristics
DOI10.1109/JERM.2022.3142512
URLView the original
Indexed ByESCI
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000750404700001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,445 HOES LANE,
Scopus ID2-s2.0-85124087935
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorSio Hang Pun
Affiliation1.State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau SAR 999078, China, with the Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR 999078, China
2.Baoan Urban Renewal Bureau, Shenzhen 518101 China
3.School of Mathematics and Physics, Queen’s University Belfast BT7 1NN, Belfast U.K.
4.School of Applied Sciences, Macao Polytechnic Institute, Macau SAR 999078 China
5.College of Physical and Information Engineering, Fuzhou University, Fuzhou 350108 China
6.Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR 999078 China
7.State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau SAR 999078 China, and also with the Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR 999078 China
8.College of Physical and Information Engineering, Fuzhou University, Fuzhou 350108 China
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Jia Wen Li,Xi Mei Chen,Booma Devi Sekar,et al. Channel Characteristics Analysis of Galvanic Coupling Intra-Body Communication[J]. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 2022, 6(3), 364-372.
APA Jia Wen Li., Xi Mei Chen., Booma Devi Sekar., Chan Tong Lam., Min Du., Peng Un Mak., Mang I. Vai., Yue Ming Gao., & Sio Hang Pun (2022). Channel Characteristics Analysis of Galvanic Coupling Intra-Body Communication. IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 6(3), 364-372.
MLA Jia Wen Li,et al."Channel Characteristics Analysis of Galvanic Coupling Intra-Body Communication".IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology 6.3(2022):364-372.
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