Stochastic modelling of 3D electric field in children brain exposed to 50 Hz magnetic field

Emma Chiaramello 1 Marta Parazzini 1 Serena Fiocchi 1 Marta Bonato 1 Laurent Le Brusquet 2 Paolo Ravazzani 1
1 CNR - Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni IEIIT
2 L2S - Laboratoire des signaux et systèmes
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.
Keywords : stochastic dosimetry ELF-MF exposure surrogate modelling
Type de document :
Communication dans un congrès
Sixth National Congress of Bioenginnering, Jun 2018, Milan, Italy
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger
https://hal-centralesupelec.archives-ouvertes.fr/hal-01871375
Contributeur : Laurent Le Brusquet <>
Soumis le : lundi 10 septembre 2018 - 16:44:08
Dernière modification le : mardi 27 novembre 2018 - 16:42:10
Document(s) archivé(s) le : mardi 11 décembre 2018 - 15:55:33

Fichier

GNB_2018_Chiaramello.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01871375, version 1

Collections

CENTRALESUPELEC | SUP_LSS | SUP_SIGNAUX | INSMI | TDS-MACS | L2S | UNIV-PARIS-SACLAY

Citation

Emma Chiaramello, Marta Parazzini, Serena Fiocchi, Marta Bonato, Laurent Le Brusquet, et al.. Stochastic modelling of 3D electric field in children brain exposed to 50 Hz magnetic field. Sixth National Congress of Bioenginnering, Jun 2018, Milan, Italy. 〈hal-01871375〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

42

Téléchargements de fichiers

23

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD