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.

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

Domaines: Santé publique et épidémiologie; Machine Learning [stat.ML]; Applications [stat.AP]; Modélisation et simulation; Traitement du signal et de l'image [eess.SP]

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⟩