Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloCharacterization of Children's Exposure to Extremely Low Frequency Magnetic Fields by Stochastic Modeling
Anno di pubblicazione2018
FormatoElettronico
Autore/iBonato M., Parazzini M., Chiaramello E., Fiocchi S., Le Brusquet L., Magne I., Souques M., Röösli M., Ravazzani P:
Affiliazioni autoriBonato M, Parazzini M., Chiaramello E., Fiocchi S., Ravazzani P.: Istituto di Elettronica e di Ingegneria dell'Informazione e delle Telecomunicazioni IEIIT CNR, 20133 Milano, Italy Bonato M.: Dipartimento di Elettronica, Informazione e Bioingegneria DEIB, Politecnico di Milano Le Brusquet L.: Laboratoire des Signaux et Systèmes (L2S), CentraleSupélec, CNRS, Univ. Paris-Sud, Université Paris-Saclay, 91192 Gif-sur-Yvette, France; Magne I. and Souques M.: Medical Studies Department of EDF (Electricite de France), 92300 Levallois-Perret, France Röösli M.: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, 4051 Basel, Switzerland and University of Basel, 4001 Basel, Switzerland
Autori CNR e affiliazioni
  • EMMA CHIARAMELLO
  • MARTA BONATO
  • PAOLO GIUSEPPE RAVAZZANI
  • MARTA PARAZZINI
  • SERENA FIOCCHI
Lingua/e
  • inglese
AbstractIn this study, children's exposure to extremely low frequency magnetic fields (ELF-MF, 40-800 Hz) is investigated. The interest in this thematic has grown due to a possible correlation between the increased risk of childhood leukemia and a daily average exposure above 0.4 ?T, although the causal relationship is still uncertain. The aim of this paper was to present a new method of characterizing the children's exposure to ELF-MF starting from personal measurements using a stochastic approach based on segmentation (and to apply it to the personal measurements themselves) of two previous projects: the ARIMMORA project and the EXPERS project. The stochastic model consisted in (i) splitting the 24 h recordings into stationary events and (ii) characterizing each event with four parameters that are easily interpretable: the duration of the event, the mean value, the dispersion of the magnetic field over the event, and a final parameter characterizing the variation speed. Afterward, the data from the two databases were divided in subgroups based on a characteristic (i.e., children's age, number of inhabitants in the area, etc.). For every subgroup, the kernel density estimation (KDE) of each parameter was calculated and the p-value histogram of the parameters together was obtained, in order to compare the subgroups and to extract information about the children's exposure. In conclusion, this new stochastic approach allows for the identification of the parameters that most affect the level of children's exposure.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da-
Pagine a-
Pagine totali-
RivistaInternational journal of environmental research and public health (Online)
Attiva dal 2004
Editore: MDPI, - Basel
Lingua: inglese
ISSN: 1660-4601
Titolo chiave: International journal of environmental research and public health (Online)
Titolo proprio: International journal of environmental research and public health. (Online)
Titolo abbreviato: Int. j. environ. res. public health (Online)
Numero volume della rivista15
Fascicolo della rivista-
DOI10.3390/ijerph15091963
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)-
Parole chiavechildren's exposure;, ELF-MF, stochastic model, kernel density estimation
Link (URL, URI)http://www.mdpi.com/journal/ijerph
Titolo parallelo-
Data di accettazione08/09/2018
Note/Altre informazioni-
Strutture CNR
  • IEIIT — Istituto di elettronica e di ingegneria dell'informazione e delle telecomunicazioni
Moduli CNR-
Progetti Europei-
Allegati
  • 2018 Bonato ELF Stochastic Children
    Descrizione: PDF Version of the paper