A Human Body Model for Efficient Numerical Characterization of UWB Signal Propagation in Wireless Body Area Networks

Abstract

Wireless body area network (WBAN) is a new enabling system with promising applications in areas such as remote health monitoring and interpersonal communication. Reliable and optimum design of a WBAN system relies on a good understanding and in-depth studies of the wave propagation around a human body. However, the human body is a very complex structure and is computationally demanding to model. This paper aims to investigate the effects of the numerical model's structure complexity and feature details on the simulation results. Depending on the application, a simplified numerical model that meets desired simulation accuracy can be employed for efficient simulations. Measurements of ultra wideband (UWB) signal propagation along a human arm are performed and compared to the simulation results obtained with numerical arm models of different complexity levels. The influence of the arm shape and size, as well as tissue composition and complexity is investigated.

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On the evaluation of biological effects of wearable antennas on contact with dispersive medium in terms of SAR and bio-heat by using FIT technique

“…Therefore, it is also of interest that would it be possible to significantly simplify SAR models for achieving realistic results, as the model simplification is proved to be productive [17].…”

A Review of State-of-the-Art on Wireless Body Area Networks

“…The standard has explained three physical layers, Ultra Wideband (UWB), Narrow band (NB), HumanBody Communication (HBC) [75]. All of them extract to the conclusion that propagate physical layer operations based on radio frequency, whereas human body communication based on non-radio frequency.…”