Deltour Isabelle, Wiart Joe, Taki Masao, Wake Kanako, Varsier Nadège, Mann Simon, Schüz Joachim, Cardis Elisabeth
Institute of Cancer Epidemiology, Danish Cancer Society, Copenhagen, Denmark; International Agency for Research on Cancer, Lyon, France.
Bioelectromagnetics. 2011 Dec;32(8):634-43. doi: 10.1002/bem.20684. Epub 2011 Jun 21.
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.
分析了人体模型中能量比吸收率（SAR）的三维分布，以检测在头部产生相似能量空间沉积的手机集群。从手机的外部特征、频段和通信协议描述了集群的特征。使用了在物理人体模型的脸颊和倾斜位置以及左右两侧对手机进行的合规性测量。手机使用了个人数字蜂窝（PDC）、码分多址一代（CdmaOne）、全球移动通信系统（GSM）和北欧移动电话（NMT）通信系统，频段为800、900、1500和1800兆赫。每个手机的测量结果由半椭球体汇总，其中SAR值高于最大值的一半。聚类分析使用围绕中心点划分算法。差异度量基于椭球体的重叠，曼哈顿距离用于稳健性分析。在800兆赫频段内，以及部分在900兆赫和1800兆赫频段内，可以得到手机形状（直板手机、顶部翻盖手机和中央天线翻盖手机）的弱聚类，但仅在特定位置（倾斜或脸颊）。在对120部手机的测量中发现，人体模型中SAR的三维分布似乎与手机的特定外部特征或测量特征无关，这些特征可用于在诸如国际癌症研究机构INTERPHONE等流行病学研究中完善对大脑内射频能量暴露的评估。
