Modelling the exposure of children to extremely low frequency magnetic fields by segmentation
| Autor: | Bonato, Marta, Parazzini, Marta, Chiaramello, Emma, Fiocchi, Serena, Le Brusquet, Laurent, Magne, Isabelle, Souques, Martine, Röösli, Martin, Ravazzani, Paolo |
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| Přispěvatelé: | 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 |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
[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 |
| Zdroj: | 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 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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