Stochastic Modelling of 3D Electric Fields in Children Brain exposed to 50 Hz Magnetic Field with Uncertain Orientation

Abstract : This study focused on the evaluation of the electric field induced in the brain grey matter of a 5 years child when exposed to uniform magnetic field at 50 Hz with uncertain orientation. An innovative approach that combines Principal Component Analysis (PCA) and Gaussian process regression (Kriging method) in order to build space-dependent surrogate models was applied and validated. Preliminary results showed the feasibility of the approach.
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Communication dans un congrès
2018 IEEE International Conference on Environmental Engineering (EE) (IEEE EE 2018), Mar 2018, Milan, Italy
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01871323
Contributeur : Laurent Le Brusquet <>
Soumis le : lundi 10 septembre 2018 - 16:06:29
Dernière modification le : mardi 27 novembre 2018 - 16:42:10

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IEEE IE 2018 - Chiaramello.pdf
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  • HAL Id : hal-01871323, version 1

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E Chiaramello, M. Parazzini, S. Fiocchi, M Bonato, Laurent Le Brusquet, et al.. Stochastic Modelling of 3D Electric Fields in Children Brain exposed to 50 Hz Magnetic Field with Uncertain Orientation. 2018 IEEE International Conference on Environmental Engineering (EE) (IEEE EE 2018), Mar 2018, Milan, Italy. 〈hal-01871323〉

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