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

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]

Fichier principal

GNB_2018_Paper_Bonato.pdf (626.5 Ko)

Origine	Fichiers produits par l'(les) auteur(s)

Laurent Le Brusquet : Connectez-vous pour contacter le contributeur

https://centralesupelec.hal.science/hal-01871382

Soumis le : lundi 10 septembre 2018-16:53:23

Dernière modification le : dimanche 17 mars 2024-11:46:04

Archivage à long terme le : mardi 11 décembre 2018-15:49:51

Dates et versions

hal-01871382 , version 1 (10-09-2018)

Identifiants

HAL Id : hal-01871382 , version 1

Citer

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⟩

Exporter

BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite

Collections

CNRS SUP_LSS SUP_SIGNAUX CENTRALESUPELEC TDS-MACS UNIV-PARIS-SACLAY EDF GS-ENGINEERING GS-COMPUTER-SCIENCE

72 Consultations

79 Téléchargements