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A Visible Human Data-Based Whole-Body Model for Investigating the Transmission Attenuation of Intrabody Communication
Ziliang Wei1; Yueming Gao1; Zhizhang Chen1; Sio Hang Pun2; Mang I Vai2; Min Du1
2022-08
Source PublicationIEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
ISSN0018-9480
Volume70Issue:8Pages:3827-3837
Abstract

Intrabody communication (IBC) is a promising approach for realizing information transmission among various wearable or implantable devices within bodyNET. The existing IBC studies are limited to the local or abstract geometric channel model, which is limited to providing efficient channel characteristics for the various transmitting scenarios. The aim of this article is to reconstruct a whole-body model with anatomical features and combine the field-circuit model for investigating the human channel characteristics. A visible human data (VHD) is established by segmentation and 3-D reconstruction of layered tissues. The transmission attenuation was simulated and analyzed through the finite element method. In vivo experiments and phantom experiments were implemented to validate the simulation results. For the on-body communication, the transmission attenuation of the short distance was similar to the low-pass filter’s amplitude-frequency characteristics. For the implantable communication, the consistency coefficient of the attenuation between in-body to on-body and on-body to in-body was higher than 98%, indicating that the body channel is bidirectional. This work provides a repeatable and verified VHD-based whole-body model for the human channel attenuation investigation. It is an essential step for the further development of IBC, such as the transceiver design and the multinodes’ protocol for bodyNET.

KeywordSolid Modeling Data Models Biological System Modeling Attenuation Electrodes Legged Locomotion Phantoms Field-circuit Model Finite Element Model(Fem) Intrabody Communication()Ibc Transmission Attenuation Visible Human Data(Vhd)
DOI10.1109/TMTT.2022.3182404
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000826415500001
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC445 HOES LANE, PISCATAWAY, NJ 08855-4141
Scopus ID2-s2.0-85133575019
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Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF ANALOG AND MIXED-SIGNAL VLSI (UNIVERSITY OF MACAU)
INSTITUTE OF MICROELECTRONICS
DEPARTMENT OF ELECTRICAL AND COMPUTER ENGINEERING
Corresponding AuthorYueming Gao
Affiliation1.Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China
2.Univ Macau, State Key Lab Analog & Mixed Signal VLSI, Macau, Peoples R China
Recommended Citation
GB/T 7714
Ziliang Wei,Yueming Gao,Zhizhang Chen,et al. A Visible Human Data-Based Whole-Body Model for Investigating the Transmission Attenuation of Intrabody Communication[J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2022, 70(8), 3827-3837.
APA Ziliang Wei., Yueming Gao., Zhizhang Chen., Sio Hang Pun., Mang I Vai., & Min Du (2022). A Visible Human Data-Based Whole-Body Model for Investigating the Transmission Attenuation of Intrabody Communication. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 70(8), 3827-3837.
MLA Ziliang Wei,et al."A Visible Human Data-Based Whole-Body Model for Investigating the Transmission Attenuation of Intrabody Communication".IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES 70.8(2022):3827-3837.
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