Cascaded Network Body Channel Model for Intrabody Communication

Hao Wang, Xian Tang, Chiu Sing Choy, Gerald E. Sobelman

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Intrabody communication has been of great research interest in recent years. This paper proposes a novel, compact but accurate body transmission channel model based on RC distribution networks and transmission line theory. The comparison between simulation and measurement results indicates that the proposed approach accurately models the body channel characteristics. In addition, the impedance-matching networks at the transmitter output and the receiver input further maximize the power transferred to the receiver, relax the receiver complexity, and increase the transmission performance. Based on the simulation results, the power gain can be increased by up to 16 dB after matching. A binary phase-shift keying modulation scheme is also used to evaluate the bit-error-rate improvement.

Original languageEnglish (US)
Article number7130567
Pages (from-to)1044-1052
Number of pages9
JournalIEEE Journal of Biomedical and Health Informatics
Volume20
Issue number4
DOIs
StatePublished - Jul 2016

Keywords

  • Binary phase-shift keying (BPSK)
  • bit error rate (BER)
  • body area network (BAN)
  • body channel modeling
  • cascaded network
  • impedance matching
  • intrabody communication (IBC)
  • power gain
  • transmission line (TL)

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