Literature DB >> 20564178

The association between exposure determined by radiofrequency personal exposimeters and human exposure: a simulation study.

Georg Neubauer1, Stefan Cecil, Wolfram Giczi, Benjamin Petric, Patrick Preiner, Jürg Fröhlich, Martin Röösli.   

Abstract

The selection of an adequate exposure assessment approach is imperative for the quality of epidemiological studies. The use of personal exposimeters turned out to be a reasonable approach to determine exposure profiles, however, certain limitations regarding the absolute values delivered by the devices have to be considered. Apart from the limited dynamic range, it has to be taken into account that these devices give only an approximation of the exposure due to the influence of the body of the person carrying the exposimeter, the receiver characteristics of the exposimeter, as well as the dependence of the measured value on frequency band, channel, slot configuration, and communication traffic. In this study, the relationship between the field strength measured close to the human body at the location of the exposimeter and the exposure, that is, the field strength at the location of the human body without the human body present, is investigated by numerical means using the Visible Human model as an anatomical phantom. Two different scenarios were chosen: (1) For FM, GSM, and UMTS an urban outdoor scenario was examined that included a transmitting antenna mounted on the roof of one of four buildings at a street crossing, (2) For WLAN an indoor scenario was investigated. For GSM the average degree of underestimation by the exposimeter (relation of the average field levels at the location of the exposimeter to the field level averaged over the volume of the human body without the body present) was 0.76, and for UMTS 0.87; for FM no underestimation was found, the ratio was 1. In the case of WLAN the degree of underestimation was more pronounced, the ratio was 0.64. This study clearly suggests that a careful evaluation of correction factors for different scenarios is needed prior to the definition of the study protocol. It has to be noted that the reference scenario used in this study does not allow for final conclusions on general correction factors.

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Year:  2010        PMID: 20564178     DOI: 10.1002/bem.20587

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


  10 in total

1.  Conduct of a personal radiofrequency electromagnetic field measurement study: proposed study protocol.

Authors:  Martin Röösli; Patrizia Frei; John Bolte; Georg Neubauer; Elisabeth Cardis; Maria Feychting; Peter Gajsek; Sabine Heinrich; Wout Joseph; Simon Mann; Luc Martens; Evelyn Mohler; Roger C Parslow; Aslak Harbo Poulsen; Katja Radon; Joachim Schüz; György Thuroczy; Jean-François Viel; Martine Vrijheid
Journal:  Environ Health       Date:  2010-05-20       Impact factor: 5.984

2.  Use of mobile phones and risk of brain tumours: update of Danish cohort study.

Authors:  Patrizia Frei; Aslak H Poulsen; Christoffer Johansen; Jørgen H Olsen; Marianne Steding-Jessen; Joachim Schüz
Journal:  BMJ       Date:  2011-10-19

3.  The role of the location of personal exposimeters on the human body in their use for assessing exposure to the electromagnetic field in the radiofrequency range 98-2450 MHz and compliance analysis: evaluation by virtual measurements.

Authors:  Krzysztof Gryz; Patryk Zradziński; Jolanta Karpowicz
Journal:  Biomed Res Int       Date:  2015-03-24       Impact factor: 3.411

4.  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 5.  Are Exposures to Multiple Frequencies the Key to Future Radiofrequency Research?

Authors:  Zenon Sienkiewicz; Carolina Calderón; Kerry A Broom; Darren Addison; Amélie Gavard; Louise Lundberg; Myron Maslanyj
Journal:  Front Public Health       Date:  2017-12-08

6.  Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band.

Authors:  Silvia de Miguel-Bilbao; Juan Blas; Victoria Ramos
Journal:  J Vis Exp       Date:  2018-05-02       Impact factor: 1.355

Review 7.  Three Quarters of a Century of Research on RF Exposure Assessment and Dosimetry-What Have We Learned?

Authors:  Kenneth R Foster; Marvin C Ziskin; Quirino Balzano
Journal:  Int J Environ Res Public Health       Date:  2022-02-12       Impact factor: 3.390

Review 8.  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

9.  A Personal, Distributed Exposimeter: Procedure for Design, Calibration, Validation, and Application.

Authors:  Arno Thielens; Peter Vanveerdeghem; Patrick Van Torre; Stephanie Gängler; Martin Röösli; Hendrik Rogier; Luc Martens; Wout Joseph
Journal:  Sensors (Basel)       Date:  2016-02-01       Impact factor: 3.576

10.  A Multi-Band Body-Worn Distributed Radio-Frequency Exposure Meter: Design, On-Body Calibration and Study of Body Morphology.

Authors:  Reza Aminzadeh; Arno Thielens; Sam Agneessens; Patrick Van Torre; Matthias Van den Bossche; Stefan Dongus; Marloes Eeftens; Anke Huss; Roel Vermeulen; René de Seze; Paul Mazet; Elisabeth Cardis; Hendrik Rogier; Martin Röösli; Luc Martens; Wout Joseph
Journal:  Sensors (Basel)       Date:  2018-01-18       Impact factor: 3.576

  10 in total

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