Modelling the Extremely Low Frequencies Magnetic Fields Times Series Exposure by Segmentation

Hanany Tolba (1) , Laurent Le Brusquet (1) , Marta Parazzini (2) , Serena Fiocchi (2) , Emma Chiaramello (2) , Paolo Ravazzani (2) , Martin Röösli (3) , Isabelle Magne (4) , Martine Souques (5)

1 L2S - Laboratoire des signaux et systèmes
2 CNR - Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni IEIIT
3 Unibas - Université de Bâle = University of Basel = Basel Universität
4 EDF R&D LME - Laboratoire des Matériels Électriques
5 Service des études médicales

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. The present paper gives details about the first step of the project: this step aims at developing stochastic models to model personal exposure from a dataset of recorded ELF-MF signals.

Domaines: Santé publique et épidémiologie; Applications [stat.AP]; Modélisation et simulation

Hanany Tolba, Laurent Le Brusquet, Marta Parazzini, Serena Fiocchi, Emma Chiaramello, et al.. Modelling the Extremely Low Frequencies Magnetic Fields Times Series Exposure by Segmentation. 11ème Congrès National de Radioprotection, Jun 2017, Lille, France. ⟨hal-01475042⟩