Modelling the exposure of children to extremely low frequency magnetic fields in the ELFSTAT project

M Bonato (1) , M. Parazzini (1) , E Chiaramello (1) , S. Fiocchi (1) , Laurent Le Brusquet (2) , I. Magne (3) , M. Souques (3) , M Röösli (4) , 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
3 SEM-EDF GDF - Service des études médicales, EDF–Gaz de France
4 Epidemiology & Public Health [Basel, Switzerland]

ELFSTAT project, founded by the French ANSES (2015-2019, Grant agreement n. 2015/1/202), aims at characterizing children's exposure to extremely low frequency magnetic fields (ELF-MF) in real exposure scenarios using stochastic approaches. In this paper, a stochastic approach for extracting information from dataset of recorded ELF-MF signals is presented. The aim is to obtain a better characterization and description of the phenomenon and to investigate on possible correlations or different features between various data subsets.

Domains: Santé publique et épidémiologie; Applications [stat.AP]; Modeling and Simulation; Signal and Image Processing; Statistics [math.ST]

M Bonato, M. Parazzini, E Chiaramello, S. Fiocchi, Laurent Le Brusquet, et al.. Modelling the exposure of children to extremely low frequency magnetic fields in the ELFSTAT project. BioEM 2018, Jun 2018, Portorož, Slovenia. ⟨hal-01871333⟩