Impact Of Parameters Variability On The Performances Of An Implanted Antenna For Biomedical Applications

In this work, non-intrusive stochastic techniques are combined with 3D modeling in order to build adequate surrogate models for the evaluation of performances of a transmission link for biomedical applications. A surrogate model is appropriate to deal with uncertainties and variabilities of parameters defining the electromagnetic problem. Numerical results obtained in case of a realistic configuration involving an external patch antenna and an embedded antenna illustrate the proposed methodology.