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Sensitivity Analysis of an Implanted Antenna within Surrounding Biological Environment

Author

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  • Shuoliang Ding

    (Group of Electrical Engineering, University of Paris-Saclay, CentraleSupélec, CNRS, Gif-sur-Yvette, 91192 Paris, France
    Group of Electrical Engineering, Sorbonne University, CNRS, 75252 Paris, France)

  • Lionel Pichon

    (Group of Electrical Engineering, University of Paris-Saclay, CentraleSupélec, CNRS, Gif-sur-Yvette, 91192 Paris, France
    Group of Electrical Engineering, Sorbonne University, CNRS, 75252 Paris, France)

Abstract

The paper describes the sensitivity analysis of a wireless power transfer link involving an implanted antenna within the surrounding biological environment. The approach combines a 3D electromagnetic modeling and a surrogate model (based polynomial chaos expansion). The analysis takes into account geometrical parameters of the implanted antenna and physical properties of the biological tissue. It allows researchers to identify at low cost the main parameters affecting the efficiency of the transmission link.

Suggested Citation

  • Shuoliang Ding & Lionel Pichon, 2020. "Sensitivity Analysis of an Implanted Antenna within Surrounding Biological Environment," Energies, MDPI, vol. 13(4), pages 1-10, February.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:4:p:996-:d:324203
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    References listed on IDEAS

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    1. Sudret, Bruno, 2008. "Global sensitivity analysis using polynomial chaos expansions," Reliability Engineering and System Safety, Elsevier, vol. 93(7), pages 964-979.
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    Cited by:

    1. Mohammed Alzubaidi & Kazi N. Hasan & Lasantha Meegahapola & Mir Toufikur Rahman, 2021. "Identification of Efficient Sampling Techniques for Probabilistic Voltage Stability Analysis of Renewable-Rich Power Systems," Energies, MDPI, vol. 14(8), pages 1-15, April.

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