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dc.contributor.author | Miguel-Bilbao, Silvia de | |
dc.contributor.author | Blas, Juan | |
dc.contributor.author | Ramos-Gonzalez, Maria Victoria | |
dc.date.accessioned | 2019-02-08T12:28:19Z | |
dc.date.available | 2019-02-08T12:28:19Z | |
dc.date.issued | 2018-05 | |
dc.identifier.citation | J Vis Exp. 2018 May 2;(135) | es_ES |
dc.identifier.issn | 1940-087X | es_ES |
dc.identifier.uri | http://hdl.handle.net/20.500.12105/7152 | |
dc.description.abstract | A well-defined experimental procedure is put forward to evaluate maximum exposure conditions in a worst-case scenario whilst avoiding the uncertainties caused by the use of personal exposimeters (PEMs) as measuring devices: the body shadow effect (BSE), the limited sensitivity range, and the non-identification of the radiation source. An upper bound for exposure levels to EMF in several indoor enclosures has been measured and simulated. The frequency used for the study is 2.4 GHz, as it is the most commonly used band in indoor communications. Although recorded values are well below the International Commission for Non-Ionizing Radiation Protection (ICNIRP) reference levels, there is a particular need to provide reliable exposure levels within particularly sensitive environments. In terms of electromagnetic field (EMF) exposure, limits established in national and international standards for health protection have been set for unperturbed exposure conditions; that is, for real and objective exposure data that have not been altered in any way. | es_ES |
dc.description.sponsorship | This work was supported by the project "Electromagnetic Characterization in Smart Environments of Healthcare, and their involvement inPersonal, Occupational, and Environmental Health," (DGPY-1285/15, PI14CIII/00056), and with the human resources of the project "NetworkPlatform for the Development of Telemedicine in Spain" (DGPY-1301/08-1-TS-3), both funding from Sub-Directorate-General for ResearchAssessment and Promotion (Carlos III Health Institute) | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | JoVE | es_ES |
dc.type.hasVersion | VoR | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Engineering | es_ES |
dc.subject | Issue 135 | es_ES |
dc.subject | Wireless Local Area Network (WLAN) | es_ES |
dc.subject | Numeric Dosimetry | es_ES |
dc.subject | PEM Uncertainties | es_ES |
dc.subject | Body Shadow Effect (BSE) | es_ES |
dc.subject | Radiofrequency (RF) Field Exposure | es_ES |
dc.subject | Ray Tracing | es_ES |
dc.subject.mesh | Electromagnetic Fields | es_ES |
dc.subject.mesh | Environmental Exposure | es_ES |
dc.subject.mesh | Humans | es_ES |
dc.subject.mesh | Radiation Dosimeters | es_ES |
dc.title | Effective Analysis of Human Exposure Conditions with Body-worn Dosimeters in the 2.4 GHz Band | es_ES |
dc.type | research article | es_ES |
dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.identifier.pubmedID | 29781983 | es_ES |
dc.format.number | 135 | es_ES |
dc.format.page | e56525 | es_ES |
dc.identifier.doi | 10.3791/56525 | es_ES |
dc.contributor.funder | Instituto de Salud Carlos III | |
dc.description.peerreviewed | Sí | es_ES |
dc.relation.publisherversion | https://doi.org/10.3791/56525 | es_ES |
dc.identifier.journal | Journal of visualized experiments : JoVE | es_ES |
dc.repisalud.centro | ISCIII | es_ES |
dc.repisalud.institucion | ISCIII | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/DGPY-1285/15 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/PI14CIII/00056 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/ES/DGPY-1301/08-1-TS-3 | es_ES |
dc.rights.accessRights | open access | es_ES |