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Wireless communication of biosensors in the human body: Analysis and simulation of signal propagation model

Abstract:

The Biosensors are a current technology that is being developed and perfected for the health care of the human body. The communication in the Biosensors network is affected by different factors; one of them is the dielectric characteristics of the human body parts. In this way, this research proposes a propagation model based on realistic simulation performed in FEKO software whose results were compared with real-time field measurement. The propagation model makes use of the foundations of the Friis equation for a multilayer that considers the dielectric characteristics of the skin, bones, muscle, and fat. The propagation losses were quantified as a function of the distance traveled by the wave in the human being. The results show a correlation between propagation loss and factors such as age, height, and concentration of adipose tissue. On the other hand, the presence of fluids such as blood in the muscles suggest a gain in propagation due to the dielectric properties of conductivity of certain fluids present in the human body.