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

E Chiaramello (1) , M. Parazzini (1) , S. Fiocchi (1) , M Bonato (1) , Laurent Le Brusquet (2) , P 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

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

Domains: Life Sciences [q-bio]; Santé publique et épidémiologie; Statistics [stat]; Machine Learning [stat.ML]; Statistics [stat]; Applications [stat.AP]; Computer Science [cs]; Modeling and Simulation; Computer Science [cs]; Signal and Image Processing; Mathematics [math]; Statistics [math.ST]

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⟩