title: Communication channel modeling of human forearm with muscle fiber tissue characteristics.
abstract: Human-Body Communication (HBC) is a wireless communication method using the human body tissue as a transmission medium for signals. This paper on the basis of human muscle fiber tissues' characteristics, it is first proposed to establish the analytical model of galvanic coupling human-body communication channel. In this model, the parallel and the transverse electrical characteristics of muscular tissue are fully considered, and the model accurately presents the transmission mechanism of galvanic coupling human-body communication signals in the channel. At last, through compare with the experimental results and calculation results, the maximum error of the model is 22.4% and the average error is 14.2% within the frequency range.
authors.affiliation: The State Key Laboratory of Analog & Mixed-signal VLSI, University of Macau, Macau SAR, China.|The Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.|The Engineering & Technical College of Chengdu University of Technology, Leshan, Sichuan, China.|College of Computer Science, Neijiang Normal University, Neijiang, Sichuan, China.|The State Key Laboratory of Analog & Mixed-signal VLSI, University of Macau, Macau SAR, China.
authors.forename: Shuang
authors.initials: S
authors.lastname: Zhang
authors.affiliation: The State Key Laboratory of Analog & Mixed-signal VLSI, University of Macau, Macau SAR, China.|The Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.
authors.forename: Sio Hang
authors.initials: SH
authors.lastname: Pun
authors.affiliation: The State Key Laboratory of Analog & Mixed-signal VLSI, University of Macau, Macau SAR, China.|The Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.
authors.forename: Peng Un
authors.initials: PU
authors.lastname: Mak
authors.affiliation: The Engineering & Technical College of Chengdu University of Technology, Leshan, Sichuan, China.|The State Key Laboratory of Analog & Mixed-signal VLSI, University of Macau, Macau SAR, China.
authors.forename: Yu-Ping
authors.initials: YP
authors.lastname: Qin
authors.affiliation: College of Computer Science, Neijiang Normal University, Neijiang, Sichuan, China.
authors.forename: Yi-He
authors.initials: YH
authors.lastname: Liu
authors.affiliation: The State Key Laboratory of Analog & Mixed-signal VLSI, University of Macau, Macau SAR, China.|The Department of Electrical and Computer Engineering, Faculty of Science and Technology, University of Macau, Macau SAR, China.
authors.forename: Mang I
authors.initials: MI
authors.lastname: Vai
mesh_terms: D005392:First Aid; D005542:Forearm / Q000502:physiology*; D006801:Humans; D018485:Muscle Fibers, Skeletal / Q000502:physiology*; D058998:Remote Sensing Technology / Q000295:instrumentation*; D059015:Wireless Technology
keywords: Analytical model; Human-Body Communication; fiber characteristics; galvanic coupling