Modelling the exposure of children to extremely low frequency magnetic fields by segmentation

Marta Bonato (1) , Marta Parazzini (1) , Emma Chiaramello (1) , Serena Fiocchi (1) , Laurent Le Brusquet (2) , Isabelle Magne (3) , Martine Souques (3) , Martin Röösli (4) , 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
3 SEM-EDF GDF - Service des études médicales, EDF–Gaz de France
4 Epidemiology & Public Health [Basel, Switzerland]

In this paper, the exposure of children to extremely low frequency magnetic field (ELF-MF, 40-800Hz) is investigated. In particular, a stochastic approach for extracting information from time series registrations is used. 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.

Keywords: Children exposure; ELF-MF; stochastic model; Kernel Density Estimation

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

Marta Bonato, Marta Parazzini, Emma Chiaramello, Serena Fiocchi, Laurent Le Brusquet, et al.. Modelling the exposure of children to extremely low frequency magnetic fields by segmentation. Sixth National Congress of Bioenginnering, Jun 2018, Milan, Italy. ⟨hal-01871382⟩