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Anthropometric differentiation of effects of radiofrequency electromagnetic fields of frequency 100 MHz on workers

机译:人体频率区分100 MHz射频电磁场对工人的影响

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Background: Thermal effects of radiofrequency electromagnetic fields (REMF) exposure of humans may be assessed by calculations of the parameter recognized as SAR (specific energy absorption rate) in virtual human body models, which actually do not represent anthropometric properties of the entire population. Therefore, it is important to determine the relations between SAR values and anthropometric parameters that enable individualization of SAR estimation independently of body properties of a given person. Material and Methods: The analysis concerned 48 exposure scenarios of 4 virtual body models (male and female) to vertically or horizontally polarized REMF of 27 MHz or 100 MHz frequency of various directions of propagation. Results: In the subgroup of results 100 MHz / vertical polarization statistically significant (strong; p 0.05) correlations were identified between SAR averaged in the whole body and height, mass, BMI, circumference of chest, waist, neck and frontal cross-section area, and between local SAR in head and neck and the height, mass, circumference of chest waist or neck and frontal cross-section area. Identified relations and SAR in the Gustav model were used to estimate the variety of SAR in Polish population of adults (5-95. percentile of female and male): ±30% for SAR averaged in the whole body, ±50% for localized SAR. Conclusions: It was demonstrated that in the preliminary classified type of assessed REMF exposure (e.g., in terms of field polarization and frequency) it is possible to identify statistical relations between various SAR parameters and anthropometric properties of the exposed body. Related quantities can be used for individualized assessment of worker's electromagnetic hazards. Med Pr 2014;65(3):351–360
机译:背景:可以通过计算虚拟人体模型中识别为SAR(比能量吸收率)的参数来评估人体暴露于射频电磁场(REMF)的热效应,而该参数实际上并不代表整个人群的人体测量学特性。因此,重要的是确定SAR值与人体测量学参数之间的关系,以使SAR估计独立于给定人的身体特性而个性化。材料和方法:分析涉及4种虚拟人体模型(男性和女性)的48种暴露场景,这些场景在垂直或水平极化的27 MHz或不同传播方向的100 MHz频率的REMF上暴露。结果:在结果子集中100 MHz /垂直极化具有统计学意义(强; p <0.05),在全身平均SAR与身高,体重,BMI,胸部周长,腰围,颈部和额叶横截面之间存在相关性区域,以及头颈部的局部SAR与身高,体重,胸腰或颈部的周长和额叶横截面之间的距离。使用古斯塔夫模型中确定的关系和SAR估算波兰成年人口(5-95%的男女比例)中SAR的变化:全身SAR平均为±30%,局部SAR为±50% 。结论:已证明,在评估的REMF暴露的初步分类类型中(例如,在场极化和频率方面),可以确定各种SAR参数与暴露人体的人体测量学特性之间的统计关系。相关数量可用于对工人的电磁危害进行个性化评估。 Med Pr 2014; 65(3):351–360

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