The Human Body Modelled by Canonical Geometric Shapes for the Analysis of Scattered E-fields

Authors

  • G. Manfredi 1 Department of Electromagnetism and Radar (DEMR) ONERA, Université Paris Saclay, Palaiseau Cedex, F-91123 France ,2 SONDRA CentraleSupélec, Gif-sur-Yvette, 91190 France
  • V. Di Mattia Department of Information Engineering Università Politecnica delle Marche, Ancona, 60131, Italy
  • P. Russo Department of Information Engineering Università Politecnica delle Marche, Ancona, 60131, Italy
  • A. De Leo Department of Information Engineering Università Politecnica delle Marche, Ancona, 60131, Italy
  • G. Cerri Department of Information Engineering Università Politecnica delle Marche, Ancona, 60131, Italy

Keywords:

Computationally body model, on body model, scattering

Abstract

The objective of this paper is to propose a simplified model of a human body to be used in electromagnetic problems involving high frequency field scattering. Canonical geometric shapes, analytically described, represent the body. The accuracy of the model was tested comparing the field scattered by the simplified body representation with the one scattered by a more realistic phantom. At first, the influence of anatomical details of the body was analysed, comparing the electromagnetic field reflected by a realistic human head with the backscattering of spheres and of an ellipsoid. A second test concerns the human body, modelled by sphere, parallelepiped and cylinders. In this case, the possibility of reconstructing a wideband pulse scattered by the whole body with the superposition of pulses scattered by its separated parts was demonstrated. Both analyses were carried out in the frequency range 3- 5 GHz using a full wave numerical simulator.

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References

A. Rahman, Y. Ishii, and V. Lubecke, “UAV-radar system for vital sign monitoring,” ACES Journal, vol. 1, no. 5, 2016.

V. Petrini, V. Di Mattia, A. De Leo, P. Russo, V. P. Mariani, G. Manfredi, G. Cerri, and L. Scalise, Domestic Monitoring of Respiration and Movement by an Electromagnetic Sensor. Ambient Assisted Living (Springer International Publishing), Basel, 2014.

3D CAD Browser. http://www.3dcadbrowser.com/ 3dmodels.aspx?category=1182, accessed May 2018.

REMCOM - VariPose. https://www.remcom.com/ varipose-biological-mesh-repositioning-software, accessed May 2018.

Makehuman - open source tool for making 3d characters. http://www.makehuman.org/404.php, accessed May 2018.

R. K. Najm, “Simplified 3-D mesh generator,” ACES Journal, vol. 6, no. 2, pp. 86-98, 1991.

S. Kashyap and A. Louie, “Surface modelling for EM interaction analysis,” ACES Journal, vol. 6, no. 2, pp. 38-53, 1991.

C. J. Roy, “Grid convergence error analysis for mixed-order numerical schemes,” AIAA Journal, vol. 41, no. 4, pp. 595-604, 2003.

H. B. Lim, D. Baumann, and E. P. Li, “A human body model for efficient numerical characterization of UWB signal propagation in wireless body area networks,” IEEE Transactions on Biomedical Engineering, vol. 58, no. 3, pp. 689- 697, 2011.

L. Roelens, S. Van den Bulcke, W. Joseph, G. Vermeeren, and L. Martens, “Path loss model for wireless narrowband communication above flat phantom,” Electronics Letters, vol. 42, no. 1, pp. 10-11, 2006.

L. Roelens, W. Joseph, E. Reusens, G. Vermeeren, and L. Martens, “Characterization of scattering parameters near a flat phantom for wireless body area networks,” IEEE Transactions on Electromagnetic Compatibility, vol. 50, no. 1, pp. 185- 193, 2008.

Ł. Januszkiewicz and S. Hausman, “Simplified human phantoms for wireless body area network modelling,” 9th European Conference on Antennas and Propagation (EuCAP), Lisbon, Portugal, pp. 1-4, April 2015.

M. Ghaddar, L. Talbi, and T. A. Denidni, “Human body modelling for prediction of effect of people on indoor propagation channel,” Electronics Letters, vol. 40, no. 25, pp. 1592-1594, 2004.

CST Microwave Studio, ver. 2017, Computer Simulation Technology, Darmstadt, Germany, 2017.

IFAC - Dielectric properties of body tissues. http://niremf.ifac.cnr.it/tissprop/htmlclie/htmlclie. php, accessed May 2018.

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Published

2021-07-22

How to Cite

[1]
G. Manfredi, V. Di Mattia, P. Russo, A. De Leo, and G. Cerri, “The Human Body Modelled by Canonical Geometric Shapes for the Analysis of Scattered E-fields”, ACES Journal, vol. 33, no. 07, pp. 741–745, Jul. 2021.

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