确定移动电话网络信号强度和无线电频率电磁场暴露之间的关系:协议和试点研究来推导转换函数
Nekane Sandoval-Diez1,2, Lea Belácková3, Adriana Fernandes Veludo1,2
1Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Allschwil, 4123, Switzerland.
Open research Europe
|April 28, 2025
概括
公民科学家使用智能手机应用程序来测量射频电磁场 (RF-EMF) 暴露. ETAIN 5G-Scientist应用程序成功地将信号强度指标转换为电场值,有助于评估人口范围内的射频电磁场暴露.
科学领域:
- 环境健康 环境健康
- 电磁场暴露评估 电磁场暴露评估
- 移动通信技术 移动通信技术
背景情况:
- 手机监测信号强度,为大规模的射频电磁场 (RF-EMF) 暴露评估提供了潜在的可能性.
- 在ETAIN (暴露于电磁场和平面健康) 项目中,开发了"ETAIN 5G-Scientist"公民科学应用程序,用于估计RF-EMF暴露.
研究的目的:
- 开发和验证一个测量协议,用于将智能手机信号强度指标 (SSI) 转换为电场值.
- 在法国和荷兰的试点研究中,使用ETAIN 5G-Scientist应用程序估计RF-EMF暴露.
主要方法:
- 开发了一种用于将应用SSI转换为电场值的协议,用于RF-EMF估计.
- 在各种位置和使用场景中使用ETAIN 5G-Scientist应用程序,曝光仪和车身探测器进行试点测量.
- 使用回归分析分析了2分钟的汇总数据 (n=891在荷兰,n=395在法国).
主要成果:
- 在长期演变 (LTE) 接收信号强度指标 (RSSI) 和远场射频-电磁场暴露之间发现了正日志线性关系.
- 在数据传输期间,观察到与手机相关的耳朵和胸部RF-EMF暴露的负日志线性趋势.
- 试点研究结果证明了ETAIN 5G-Scientist应用程序用于RF-EMF估计的可行性.
结论:
- ETAIN 5G-Scientist应用程序为基于智能手机的RF-EMF暴露估计提供了一个可行的工具.
- 由于观察到的不确定性,需要进一步收集和分析数据,以提高个人暴露估计的准确性.
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