LAPSE:2023.21766
Published Article

LAPSE:2023.21766
Sensitivity Analysis of an Implanted Antenna within Surrounding Biological Environment
March 23, 2023
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.
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.
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Keywords
medical implant, sensitivity analysis, stochastic model, wireless power transfer
Subject
Suggested Citation
Ding S, Pichon L. Sensitivity Analysis of an Implanted Antenna within Surrounding Biological Environment. (2023). LAPSE:2023.21766
Author Affiliations
Ding S: 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 [ORCID]
Pichon L: 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 [ORCID]
Pichon L: 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 [ORCID]
Journal Name
Energies
Volume
13
Issue
4
Article Number
E996
Year
2020
Publication Date
2020-02-23
ISSN
1996-1073
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Original Submission
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PII: en13040996, Publication Type: Journal Article
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LAPSE:2023.21766
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https://doi.org/10.3390/en13040996
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Mar 23, 2023
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