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

Authors :
Bonato, Marta
Parazzini, Marta
Chiaramello, Emma
Fiocchi, Serena
Le Brusquet, Laurent
Magne, Isabelle
Souques, Martine
Röösli, Martin
Ravazzani, Paolo
Consiglio Nazionale delle Ricerche, Istituto di Elettronica e di Ingegneria dell’Informazione e delle Telecomunicazioni IEIIT (CNR)
Laboratoire des signaux et systèmes (L2S)
Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Service des études médicales, EDF–Gaz de France (SEM-EDF GDF)
EDF (EDF)
Epidemiology & Public Health [Basel, Switzerland]
Swiss Tropical and Public Health Institute [Basel]-Medical School University of Basel
Source :
Gruppo Nazionale di Bioingegneria GNB Sesto Congresso, Milano, Italy, 25-27 June, 2018, info:cnr-pdr/source/autori:M. Bonato, M. Parazzini, E. Chiaramello, S. Fiocchi, L. Le Brusquet, I. Magne, M. Souques, M. Röösli and P. Ravazzani/congresso_nome:Gruppo Nazionale di Bioingegneria GNB Sesto Congresso/congresso_luogo:Milano, Italy/congresso_data:25-27 June, 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine, Sixth National Congress of Bioenginnering, Sixth National Congress of Bioenginnering, Jun 2018, Milan, Italy
Publication Year :
2018

Abstract

International audience; 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.

Subjects

Subjects :
[STAT.AP]Statistics [stat]/Applications [stat.AP]
[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Children exposure
ELF-MF
Kernel Density Estimation
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
stochastic model

Details

Language :
English
Database :
OpenAIRE
Journal :
Gruppo Nazionale di Bioingegneria GNB Sesto Congresso, Milano, Italy, 25-27 June, 2018, info:cnr-pdr/source/autori:M. Bonato, M. Parazzini, E. Chiaramello, S. Fiocchi, L. Le Brusquet, I. Magne, M. Souques, M. Röösli and P. Ravazzani/congresso_nome:Gruppo Nazionale di Bioingegneria GNB Sesto Congresso/congresso_luogo:Milano, Italy/congresso_data:25-27 June, 2018/anno:2018/pagina_da:/pagina_a:/intervallo_pagine, Sixth National Congress of Bioenginnering, Sixth National Congress of Bioenginnering, Jun 2018, Milan, Italy
Accession number :
edsair.dedup.wf.001..e80796e627649e9a7095b8a6042a08e7

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