DEVIN,CEA-Leti 用于精确测量智能手机射频暴露的仪器

DEVIN, the CEA-Leti instrument for accurately measuring exposure to smartphone radio waves

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摘要
CEA-Leti天线实验室开发了迷你个人测曝仪DEVIN,应法国ANSES委托为WHO流行病学研究提供手机实际暴露的客观数据:可在真实使用场景下连续测量手机上行发射功率及其与人体距离(卡片大小、厚约1厘米、每秒10次采样),并已在300名志愿者测试,结果显示通话贴耳比发短信暴露更高、离基站更远上行暴露更高且仍远低于监管限值。随后在欧盟Seawave项目中,CEA-Leti将DEVIN适配5G(DEVIN5G),可识别新机型的不同天线并续航数天;该工具不依赖运营商或特定手机型号,直接测物理量以支持更快跟进移动网络部署带来的风险评估。

CEA-Leti 天线实验室开发出一款名为 DEVIN 的微型个人暴露计,可在真实使用场景下持续测量智能手机发射的无线电波功率,以及手机与人体的距离。该设备由 ANSES(法国食品、环境与职业健康安全署)委托研发,旨在为 WHO 流行病学研究提供更可靠的数据;目前已在 300 名志愿者身上完成测试,并在 Seawave 项目中进一步适配到 5G 场景,体现了 CEA-Leti 在微型化与仪器开发方面的技术能力,也服务于公共卫生研究。

此前,关于手机电磁波影响的研究主要依赖实验室中的“最坏情况”测试;而流行病学研究则多基于受访者自述问卷,缺乏对实际暴露的客观测量。为弥补这一空白,ANSES 委托 CEA-Leti 设计测量工具,目标是向 WHO 流行病学家提供人们在真实使用手机时的实际暴露数据。

DEVIN 属于所谓的“uplink”暴露计,专门测量手机本身发出的信号。手机发射功率最高可达 200 毫瓦,远低于基站天线,但由于它通常紧贴身体使用,甚至接触皮肤或靠近大脑,因此更需要精确评估其暴露水平。CEA-Leti 的创新在于将完整系统集成进一台微型设备中:DEVIN 被缩小到信用卡大小,厚度仅 1 厘米,可直接固定在手机背面。

该设备每秒记录 10 次测量数据,包括发射功率、频段,以及发射天线相对于人体的位置,从而能够判断能量在体内的分布情况。测试结果显示,暴露水平会显著变化:例如,贴近耳朵通话时的暴露高于发短信;而与基站距离越远,手机为了维持网络连接就会提高发射功率,从而增加 uplink 暴露。不过,所有测量值仍远低于法规规定的暴露限值。

在此基础上,由塞萨洛尼基大学牵头、包括 CEA-Leti 在内的多个合作方参与的欧洲 Seawave 项目,进一步开发出兼容 5G 的 DEVIN 版本。该版本能够识别新一代智能手机中集成的不同天线,电池续航可达数天。

这款暴露计不依赖移动运营商,也不受特定手机型号限制;它直接测量物理量,而不是依赖会随移动通信代际变化而不同的通信信号。相关研究已发表多篇科学论文,也为流行病学家提供了追赶移动网络快速部署的工具,尤其是在适配 5G 之后。

更重要的是,除了技术突破,这项工作也体现出 CEA-Leti 能够围绕社会需求开发实用技术。相关论文包括《Determinants of radiofrequency electromagnetic fields emitted by smartphones in French cellular telephony networks》和 IEEE Xplore 上的《Up-Link Personnal Exposimeter DEVIN5G: RF Performance Validation》。

Summary
CEA-Leti’s antenna lab has developed DEVIN, a credit-card-sized “uplink” personal exposimeter that continuously measures the power a smartphone emits and its distance from the body in real-world conditions, commissioned by France’s ANSES to provide objective exposure data for WHO epidemiologists. Tested on 300 volunteers and adapted for 5G through the EU Seawave project (with the University of Thessaloniki and other partners), the device records 10 measurements per second and showed exposure varies by use (e.g., higher during calls held to the ear than texting) while remaining below regulatory limits. The technology enables more accurate epidemiological studies than prior lab worst-case or self-reported methods and helps researchers keep pace with evolving mobile network generations.

CEA-Leti’s antenna laboratory has developed DEVIN, a miniaturized personal exposimeter designed to continuously measure, in real-world conditions, both the power emitted by a smartphone and its distance from the body. Commissioned by ANSES, the French Agency for Food, Environmental and Occupational Health & Safety, the device was created to give WHO epidemiologists reliable data on actual phone exposure, filling a long-standing gap between laboratory studies and epidemiological surveys based largely on self-reported questionnaires.

DEVIN is an “uplink” exposimeter, meaning it measures the signal transmitted by the mobile phone itself rather than emissions from base stations. That distinction matters because a handset can transmit up to 200 milliwatts, far less than a cell tower, but often at extremely close range to the body — against the ear, in a pocket, or near the brain. CEA-Leti’s technical achievement was to integrate a complete measurement system into a device the size of a credit card and only 1 centimeter thick, allowing it to be attached to the back of a phone.

The instrument records 10 measurements per second, including transmitted power, frequency band, and the position of the phone’s transmitting antenna relative to the body. That makes it possible to estimate how energy is distributed inside the body and to compare exposure across different usage patterns. Tests on 300 volunteers showed substantial variation: holding a phone to the ear during a call produces higher exposure than sending a text message, and exposure rises when the handset is farther from the base station because the phone increases its power to maintain the network link. Even so, all measured values remained well below regulatory limits.

The work was extended through the European Seawave project, led by the University of Thessaloniki with CEA-Leti among the partners, which produced a 5G-compatible version of DEVIN. This newer model can detect the different antennas used in recent smartphones and runs for several days on battery power. Because it measures physical quantities directly, it does not depend on mobile operators or on any specific phone model, and it avoids relying on telecom signals that change from one generation of mobile technology to the next.

The project has already resulted in several scientific publications, including studies on the determinants of radiofrequency electromagnetic fields emitted by smartphones in French cellular networks and validation work for DEVIN5G. More broadly, it gives epidemiologists a tool that can keep pace with the rapid rollout of mobile networks, while underscoring CEA-Leti’s ability to develop advanced instrumentation in response to public-health needs.

Résumé
Le laboratoire CEA-Leti (antenne) a développé DEVIN, un mini-exposimètre personnel de la taille d’une carte bancaire, capable de mesurer en conditions réelles la puissance émise par un smartphone et sa distance au corps, à la demande de l’ANSES pour fournir des données objectives aux épidémiologistes de l’OMS. Testé sur 300 volontaires puis adapté à la 5G dans le projet européen Seawave (mené par l’université de Thessalonique), l’appareil enregistre 10 mesures par seconde et met en évidence de fortes variations d’exposition selon l’usage (appel contre SMS, proximité de l’oreille, distance aux antennes), tout en restant largement sous les limites réglementaires. Cette approche comble le manque d’évaluation objective des expositions par rapport aux questionnaires, et offre un outil indépendant des opérateurs et des modèles de téléphones pour mieux suivre l’impact sanitaire des réseaux mobiles.

​​​​​​​​​​​The CEA-Leti antenna laboratory has developed DEVIN, a miniaturized personal exposimeter capable of continuously measuring, under real-life conditions, the power emitted by a smartphone as well as its distance from the body. Designed at the request of ANSES to provide reliable data to WHO epidemiologists, this instrument, already tested on 300 volunteers and subsequently adapted to 5G as part of the Seawave project, showcases CEA-Leti's expertise in miniaturization and instrumentation in support of public health research.​

Until now, studies on the impact of electromagnetic waves from mobile phones have relied on laboratory experiments based on a worst-case scenario. Epidemiological studies, meanwhile, have been based on self-reported questionnaires, without any objective measurement of actual exposure.

To address this gap, ANSES (the French Agency for Food, Environmental and Occupational Health & Safety) commissioned CEA-Leti to design a measurement instrument. The objective? To provide WHO epidemiologists with reliable data on people's actual exposure when using their phones.

This is known as an “uplink" exposimeter, as it specifically measures the signal emitted by the mobile phone. The phone can transmit up to 200 milliwatts of power, much less than base station antennas. The difference is that it is used very close to the body, either in contact with the skin or close to the brain.

CEA-Leti's innovation lies in integrating a complete system into a miniaturized device. DEVIN was reduced to the size of a credit card, with a thickness of just one centimeter, so that it can be attached to the back of a phone.

It records ten measurements per second, including transmitted power, frequency band, and the position of the transmitting antenna relative to the body, making it possible to determine how energy is distributed within the body.

The results revealed significant variations in exposure levels. For example, a phone call with the handset held against the ear results in greater exposure than sending a text message, while greater distance from a base station increases uplink exposure.

The weaker the radio link between the transmitter and receiver, the more power the phone uses to maintain its connection to the network. However, all measurements remained well below the regulatory exposure limits.

The European Seawave project, led by the University of Thessaloniki and involving several partners, including CEA-Leti, has taken this work a step further with the development of a 5G-compatible version of DEVIN.

This version can detect different antennas integrated into recent smartphones and has a battery life of several days.

The exposimeter does not depend on mobile network operators or specific phone models. It directly measures physical quantities, without relying on telecommunications signals, which differ from one mobile technology generation to another.

This research has led to the publication of several scientific papers and provides epidemiologists with a tool to catch up with the rapid deployment of mobile networks, thanks to an instrument adapted to 5G mobile communications.

Above all, beyond the technical achievement, this research demonstrates CEA-Leti's ability to develop technology in response to societal needs.

Determinants of radiofrequency electromagnetic fields emitted by smartphones in French cellular telephony networks - ScienceDirect

Up-Link Personnal Exposimeter DEVIN5G: RF Performance Validation | IEEE Conference Publication | IEEE Xplore

AI Insight
Core Point

CEA-Leti为ANSES/WHO开发迷你个人“上行”射频暴露计DEVIN,可在真实使用场景连续测量手机发射功率及与人体距离(并已适配5G),用于用客观数据替代问卷与最坏情景实验,提升流行病学暴露评估可信度。

Key Players

CEA-Leti — 微纳与仪器实验室,法国(格勒诺布尔)开发DEVIN个人射频暴露计并完成5G适配。

ANSES — 法国食品/环境/职业健康安全署,委托设计以提供可靠暴露数据给WHO流行病学。

WHO — 世界卫生组织,接收用于流行病学研究的客观暴露数据。

University of Thessaloniki — 希腊(塞萨洛尼基)牵头Seawave项目,推动DEVIN的5G版本。

Seawave project — 欧洲科研项目,整合多方合作完成5G兼容暴露计与验证。

Industry Impact
  • Computing/AI: Medium — 数据采集与频段/位置测量为后续建模分析提供输入。
  • ICT: High — 以客观测量替代主观问卷,影响移动通信射频暴露评估方法与合规研究。
  • Energy: Low — 主要是测量而非能耗技术,但电池续航(数天)体现便携供能工程。
Tracking

Monitor — 5G兼容的客观暴露测量工具可能成为监管与流行病学研究的关键方法学基础。

Highlights
Local Research Tech Breakthrough
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物联网 生物技术 科研
AI Processing
2026-09-14 13:47
openai / gpt-5.4-nano