Literature DB >> 21755521

Measurement setup and protocol for characterizing and testing radio frequency personal exposure meters.

Oliver Lauer1, Georg Neubauer, Martin Röösli, Markus Riederer, Patrizia Frei, Evelyn Mohler, Jürg Fröhlich.   

Abstract

Body-worn radiofrequency electromagnetic field (RF-EMF) personal exposure meters (PEMs) have been increasingly used for exposure assessment in epidemiological research. However, little research on the measurement accuracy of these devices is available. In this article a novel measurement setup and a measurement protocol are presented for characterizing and testing PEMs. The whole setup and procedure is tested using two EME SPY 120 devices. The performance of the PEM was analyzed for absolute measurements in an anechoic chamber. Modulated signals representing the different services as real signals generated by appropriate testers were used. Measurement results were evaluated with respect to a root mean square detector. We found that measurement accuracy depends strongly on the carrier frequency and also on the number of occupied time slots for Time Division Multiple Access (TDMA)-based services. Thus, correction factors can only be derived if the distribution of the network configuration over the measurement time for all measurement points is available. As a result of the simplicity of the measurement setup and the straightforward measurement protocol, the possibility of fast validation leads to a higher accuracy in the characterization and testing of PEMs.
Copyright © 2011 Wiley Periodicals, Inc.

Mesh:

Year:  2011        PMID: 21755521     DOI: 10.1002/bem.20687

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  5 in total

1.  Electromagnetic field exposure assessment in Europe radiofrequency fields (10 MHz-6 GHz).

Authors:  Peter Gajšek; Paolo Ravazzani; Joe Wiart; James Grellier; Theodoros Samaras; György Thuróczy
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-08-14       Impact factor: 5.563

2.  What input data are needed to accurately model electromagnetic fields from mobile phone base stations?

Authors:  Johan Beekhuizen; Hans Kromhout; Alfred Bürgi; Anke Huss; Roel Vermeulen
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-01-29       Impact factor: 5.563

3.  Scenarios approach to the electromagnetic exposure: the case study of a train compartment.

Authors:  A Paffi; F Apollonio; R Pinto; M Liberti
Journal:  Biomed Res Int       Date:  2015-02-23       Impact factor: 3.411

Review 4.  EMF monitoring-concepts, activities, gaps and options.

Authors:  Gregor Dürrenberger; Jürg Fröhlich; Martin Röösli; Mats-Olof Mattsson
Journal:  Int J Environ Res Public Health       Date:  2014-09-11       Impact factor: 3.390

5.  Characterization of indoor extremely low frequency and low frequency electromagnetic fields in the INMA-Granada cohort.

Authors:  Irene Calvente; Cristina Dávila-Arias; Olga Ocón-Hernández; Rocío Pérez-Lobato; Rosa Ramos; Francisco Artacho-Cordón; Nicolás Olea; María Isabel Núñez; Mariana F Fernández
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

  5 in total

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