IEEE Access (Jan 2019)

Dielectric Characterization of <italic>In Vivo</italic> Abdominal and Thoracic Tissues in the 0.5&#x2013;26.5 GHz Frequency Band for Wireless Body Area Networks

  • Alejandro Fornes-Leal,
  • Narcis Cardona,
  • Matteo Frasson,
  • Sergio Castello-Palacios,
  • Andrea Nevarez,
  • Vicente Pons Beltran,
  • Concepcion Garcia-Pardo

DOI
https://doi.org/10.1109/ACCESS.2019.2903481
Journal volume & issue
Vol. 7
pp. 31854 – 31864

Abstract

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The dielectric properties of biological tissues are of utmost importance in the development of wireless body area networks (WBANs), especially for implanted devices. The early design stages of medical devices like capsule endoscopy, pacemakers, or physiological sensors rely on precise knowledge of the dielectric properties of the tissues present in their surrounding medium. Many of these applications make use of electromagnetic phantoms, which are software or physical models that imitate the shape and the electromagnetic properties of the tissues. They are used for designing devices in software simulations and for testing them in laboratory trials, aiding in both the development of WBAN antennas or in communication link evaluations. The existing reports about dielectric in vivo properties are limited and have drawbacks like: low variety of characterized tissues, lacking some relevant ones, and limitations and inhomogeneity in the measured frequency range. This paper aims at filling that gap by providing a new database of dielectric properties of biological tissues measured in vivo. In particular, it is focused on the tissues of the thoracic and the abdominal regions, measured at the same wide frequency band, on the same animal specimen, and under the same conditions. The properties have been obtained by measuring porcine tissues in the 0.5-26.5 GHz band with the open-ended coaxial technique. In this paper, we focus on those tissues that have been scarcely characterized so far in the literature, like heart, esophagus, stomach, and pancreas. The Cole-Cole fitting parameters of the measured tissues and their uncertainties are provided.

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