Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective
The three‐dimensional distribution of the specific absorption rate of energy (SAR) in phantom models was analysed to detect clusters of mobile phones producing similar spatial deposition of energy in the head. The clusters' characteristics were described from the phones external features, frequ...
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Veröffentlicht in: | Bioelectromagnetics 2011-12, Vol.32 (8), p.634-643 |
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description | The three‐dimensional distribution of the specific absorption rate of energy (SAR) in phantom models was analysed to detect clusters of mobile phones producing similar spatial deposition of energy in the head. The clusters' characteristics were described from the phones external features, frequency band and communication protocol. Compliance measurements with phones in cheek and tilt positions, and on the left and right side of a physical phantom were used. Phones used the Personal Digital Cellular (PDC), Code division multiple access One (CdmaOne), Global System for Mobile Communications (GSM) and Nordic Mobile Telephony (NMT) communication systems, in the 800, 900, 1500 and 1800 MHz bands. Each phone's measurements were summarised by the half‐ellipsoid in which the SAR values were above half the maximum value. Cluster analysis used the Partitioning Around Medoids algorithm. The dissimilarity measure was based on the overlap of the ellipsoids, and the Manhattan distance was used for robustness analysis. Within the 800 MHz frequency band, and in part within the 900 MHz and the 1800 MHz frequency bands, weak clustering was obtained for the handset shape (bar phone, flip with top and flip with central antennas), but only in specific positions (tilt or cheek). On measurements of 120 phones, the three‐dimensional distribution of SAR in phantom models did not appear to be related to particular external phone characteristics or measurement characteristics, which could be used for refining the assessment of exposure to radiofrequency energy within the brain in epidemiological studies such as the Interphone. Bioelectromagnetics. Bioelectromagnetics 32:634–643, 2011. © 2011 Wiley Periodicals, Inc. |
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The clusters' characteristics were described from the phones external features, frequency band and communication protocol. Compliance measurements with phones in cheek and tilt positions, and on the left and right side of a physical phantom were used. Phones used the Personal Digital Cellular (PDC), Code division multiple access One (CdmaOne), Global System for Mobile Communications (GSM) and Nordic Mobile Telephony (NMT) communication systems, in the 800, 900, 1500 and 1800 MHz bands. Each phone's measurements were summarised by the half‐ellipsoid in which the SAR values were above half the maximum value. Cluster analysis used the Partitioning Around Medoids algorithm. The dissimilarity measure was based on the overlap of the ellipsoids, and the Manhattan distance was used for robustness analysis. Within the 800 MHz frequency band, and in part within the 900 MHz and the 1800 MHz frequency bands, weak clustering was obtained for the handset shape (bar phone, flip with top and flip with central antennas), but only in specific positions (tilt or cheek). On measurements of 120 phones, the three‐dimensional distribution of SAR in phantom models did not appear to be related to particular external phone characteristics or measurement characteristics, which could be used for refining the assessment of exposure to radiofrequency energy within the brain in epidemiological studies such as the Interphone. Bioelectromagnetics. Bioelectromagnetics 32:634–643, 2011. © 2011 Wiley Periodicals, Inc.</description><identifier>ISSN: 0197-8462</identifier><identifier>EISSN: 1521-186X</identifier><identifier>DOI: 10.1002/bem.20684</identifier><identifier>PMID: 21695709</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Absorption ; brain ; Brain - radiation effects ; Cell Phone ; cluster ; Cluster Analysis ; Computer Simulation ; electromagnetic fields ; Electromagnetic Fields - adverse effects ; Environmental Exposure - analysis ; Environmental Monitoring - methods ; Epidemiologic Studies ; Head - radiation effects ; Humans ; Models, Biological ; Phantoms, Imaging ; Radiation Dosage ; Radio Waves - adverse effects ; radiofrequency fields</subject><ispartof>Bioelectromagnetics, 2011-12, Vol.32 (8), p.634-643</ispartof><rights>Copyright © 2011 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3974-60effc22f5ad5e4cd794557dd7a5244d0a72c1ca8480ce96977d8ab010de45ef3</citedby><cites>FETCH-LOGICAL-c3974-60effc22f5ad5e4cd794557dd7a5244d0a72c1ca8480ce96977d8ab010de45ef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fbem.20684$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbem.20684$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/21695709$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deltour, Isabelle</creatorcontrib><creatorcontrib>Wiart, Joe</creatorcontrib><creatorcontrib>Taki, Masao</creatorcontrib><creatorcontrib>Wake, Kanako</creatorcontrib><creatorcontrib>Varsier, Nadège</creatorcontrib><creatorcontrib>Mann, Simon</creatorcontrib><creatorcontrib>Schüz, Joachim</creatorcontrib><creatorcontrib>Cardis, Elisabeth</creatorcontrib><title>Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective</title><title>Bioelectromagnetics</title><addtitle>Bioelectromagnetics</addtitle><description>The three‐dimensional distribution of the specific absorption rate of energy (SAR) in phantom models was analysed to detect clusters of mobile phones producing similar spatial deposition of energy in the head. The clusters' characteristics were described from the phones external features, frequency band and communication protocol. Compliance measurements with phones in cheek and tilt positions, and on the left and right side of a physical phantom were used. Phones used the Personal Digital Cellular (PDC), Code division multiple access One (CdmaOne), Global System for Mobile Communications (GSM) and Nordic Mobile Telephony (NMT) communication systems, in the 800, 900, 1500 and 1800 MHz bands. Each phone's measurements were summarised by the half‐ellipsoid in which the SAR values were above half the maximum value. Cluster analysis used the Partitioning Around Medoids algorithm. The dissimilarity measure was based on the overlap of the ellipsoids, and the Manhattan distance was used for robustness analysis. Within the 800 MHz frequency band, and in part within the 900 MHz and the 1800 MHz frequency bands, weak clustering was obtained for the handset shape (bar phone, flip with top and flip with central antennas), but only in specific positions (tilt or cheek). On measurements of 120 phones, the three‐dimensional distribution of SAR in phantom models did not appear to be related to particular external phone characteristics or measurement characteristics, which could be used for refining the assessment of exposure to radiofrequency energy within the brain in epidemiological studies such as the Interphone. Bioelectromagnetics. Bioelectromagnetics 32:634–643, 2011. © 2011 Wiley Periodicals, Inc.</description><subject>Absorption</subject><subject>brain</subject><subject>Brain - radiation effects</subject><subject>Cell Phone</subject><subject>cluster</subject><subject>Cluster Analysis</subject><subject>Computer Simulation</subject><subject>electromagnetic fields</subject><subject>Electromagnetic Fields - adverse effects</subject><subject>Environmental Exposure - analysis</subject><subject>Environmental Monitoring - methods</subject><subject>Epidemiologic Studies</subject><subject>Head - radiation effects</subject><subject>Humans</subject><subject>Models, Biological</subject><subject>Phantoms, Imaging</subject><subject>Radiation Dosage</subject><subject>Radio Waves - adverse effects</subject><subject>radiofrequency fields</subject><issn>0197-8462</issn><issn>1521-186X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kE1v1DAQQC1ERZfCgT-AfEMc0tqOHdvHZVW2lUr5KtCb5dgT6pLEwc4W9t_XdNveOI008-YdHkKvKDmkhLCjFoZDRhrFn6AFFYxWVDWXT9GCUC0rxRu2j57nfE0IUYrUz9A-o40WkugFul6Ott_mkHHs8HyVACofBhhziOWAvy6_YB_ynEK7mcsqYxjCPIPH7RYPsQ094OkqjpBxGLEdMUzBFyT28WdwRTBByhO4OdzAC7TX2T7Dy_t5gL69P75YnVRnH9enq-VZ5WotedUQ6DrHWCesF8Cdl5oLIb2XVjDOPbGSOeqs4oo40I2W0ivbEko8cAFdfYDe7LxTir83kGczhOyg7-0IcZONJrThtdKskG93pEsx5wSdmVIYbNoaSsy_sqaUNXdlC_v63rppB_CP5EPKAhztgD8lyvb_JvPu-MODstp9lMDw9_HDpl-mkbUU5sf52pyvv198ulx9Nry-Bdbvk-8</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Deltour, Isabelle</creator><creator>Wiart, Joe</creator><creator>Taki, Masao</creator><creator>Wake, Kanako</creator><creator>Varsier, Nadège</creator><creator>Mann, Simon</creator><creator>Schüz, Joachim</creator><creator>Cardis, Elisabeth</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201112</creationdate><title>Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective</title><author>Deltour, Isabelle ; Wiart, Joe ; Taki, Masao ; Wake, Kanako ; Varsier, Nadège ; Mann, Simon ; Schüz, Joachim ; Cardis, Elisabeth</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3974-60effc22f5ad5e4cd794557dd7a5244d0a72c1ca8480ce96977d8ab010de45ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Absorption</topic><topic>brain</topic><topic>Brain - radiation effects</topic><topic>Cell Phone</topic><topic>cluster</topic><topic>Cluster Analysis</topic><topic>Computer Simulation</topic><topic>electromagnetic fields</topic><topic>Electromagnetic Fields - adverse effects</topic><topic>Environmental Exposure - analysis</topic><topic>Environmental Monitoring - methods</topic><topic>Epidemiologic Studies</topic><topic>Head - radiation effects</topic><topic>Humans</topic><topic>Models, Biological</topic><topic>Phantoms, Imaging</topic><topic>Radiation Dosage</topic><topic>Radio Waves - adverse effects</topic><topic>radiofrequency fields</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deltour, Isabelle</creatorcontrib><creatorcontrib>Wiart, Joe</creatorcontrib><creatorcontrib>Taki, Masao</creatorcontrib><creatorcontrib>Wake, Kanako</creatorcontrib><creatorcontrib>Varsier, Nadège</creatorcontrib><creatorcontrib>Mann, Simon</creatorcontrib><creatorcontrib>Schüz, Joachim</creatorcontrib><creatorcontrib>Cardis, Elisabeth</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Bioelectromagnetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deltour, Isabelle</au><au>Wiart, Joe</au><au>Taki, Masao</au><au>Wake, Kanako</au><au>Varsier, Nadège</au><au>Mann, Simon</au><au>Schüz, Joachim</au><au>Cardis, Elisabeth</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective</atitle><jtitle>Bioelectromagnetics</jtitle><addtitle>Bioelectromagnetics</addtitle><date>2011-12</date><risdate>2011</risdate><volume>32</volume><issue>8</issue><spage>634</spage><epage>643</epage><pages>634-643</pages><issn>0197-8462</issn><eissn>1521-186X</eissn><abstract>The three‐dimensional distribution of the specific absorption rate of energy (SAR) in phantom models was analysed to detect clusters of mobile phones producing similar spatial deposition of energy in the head. The clusters' characteristics were described from the phones external features, frequency band and communication protocol. Compliance measurements with phones in cheek and tilt positions, and on the left and right side of a physical phantom were used. Phones used the Personal Digital Cellular (PDC), Code division multiple access One (CdmaOne), Global System for Mobile Communications (GSM) and Nordic Mobile Telephony (NMT) communication systems, in the 800, 900, 1500 and 1800 MHz bands. Each phone's measurements were summarised by the half‐ellipsoid in which the SAR values were above half the maximum value. Cluster analysis used the Partitioning Around Medoids algorithm. The dissimilarity measure was based on the overlap of the ellipsoids, and the Manhattan distance was used for robustness analysis. Within the 800 MHz frequency band, and in part within the 900 MHz and the 1800 MHz frequency bands, weak clustering was obtained for the handset shape (bar phone, flip with top and flip with central antennas), but only in specific positions (tilt or cheek). On measurements of 120 phones, the three‐dimensional distribution of SAR in phantom models did not appear to be related to particular external phone characteristics or measurement characteristics, which could be used for refining the assessment of exposure to radiofrequency energy within the brain in epidemiological studies such as the Interphone. Bioelectromagnetics. Bioelectromagnetics 32:634–643, 2011. © 2011 Wiley Periodicals, Inc.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>21695709</pmid><doi>10.1002/bem.20684</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Absorption brain Brain - radiation effects Cell Phone cluster Cluster Analysis Computer Simulation electromagnetic fields Electromagnetic Fields - adverse effects Environmental Exposure - analysis Environmental Monitoring - methods Epidemiologic Studies Head - radiation effects Humans Models, Biological Phantoms, Imaging Radiation Dosage Radio Waves - adverse effects radiofrequency fields |
title | Analysis of three-dimensional SAR distributions emitted by mobile phones in an epidemiological perspective |
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