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Assessment of Electromagnetic Radiation Intensity from Smartphones in Video Communication Mode

https://doi.org/10.23947/2541-9129-2026-10-3-256-265

EDN: KXPYFN

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Abstract

Introduction. The 2020s have brought the issue of electromagnetic radiation (EMR) in video conferencing (VC) to the forefront. Such services have become widespread due to pandemic‑related self‑isolation, falling smartphone prices, and the increased mobility of students and workers. Human tissues heat up locally during conversations and video calls because the device emits non‑ionizing electromagnetic radio waves. Their effect on the body has been described in several studies, but only the situation of audio calls is considered. There is no data on how harmful EMR is in VC. Accordingly, it is impossible to substantiate recommendations for video communication safety, in particular for “protection by distance”. This study aims to fill this gap by determining the level of EMR emitted by smartphones during video conferences.

Materials and Methods. The radiation was measured using a PZ‑41 device. The manufacturer was Special Design Bureau PiTON, located in Nizhny Novgorod. The antenna recorded the maximum and average values of the energy flux density (EFD). Conditions: EFD — 0.26–100,000 µW/cm2, frequency used to determine EFD — 2450 MHz, and the averaging time for the parameter before it was displayed on the screen — 1 minute. Smartphones with iOS and Android operating systems with and without Wi‑Fi were tested. Measurements were taken at distances of 0 and 15 cm from the top and bottom speakers. Five experiments were conducted in each case.

Results. During video calls, EMR was higher than during a conversation. For each device, the maximum and average values of EFD in the video call mode with Wi‑Fi enabled and disabled were summarized in tables. We obtained 40 indicators for each of the four cases (two devices and two modes), with minimum and maximum values: 0.365 and 9.732; 3.813 and 72.136; 0.01 and 0.633; 0.781 and 30.271. We noted the data with interference modeling and poor Internet connection. For each experiment, we derived average values. EFD from iOS turned out to be higher than from Android. EFDavg excess with Wi-Fi was indistinguishable (0.6) in 0 cm from the top speaker and more than 85 in 15 cm from the bottom one. The absolute values were low: 0.549 and 0.985 and 0.854 and 0.010, respectively.

Discussion. Protection by distance worked at a distance of 15 cm from the speaker with Wi‑Fi (similar EFDmax and EFDavg values were obtained). Interference both reduced and increased EFD. There was no pattern. Unstable Internet doubled the average EFD. Wi‑Fi reduced the EFD by a factor of 3.1–26.9 for iOS and by a factor of 3.8–167.5 for Android (due to the router’s short range, the smartphone did not need a powerful transmitter). For iOS, high EFDs were recorded at the bottom speaker; for Android — at the top one. Android demonstrated the maximum reduction in EFDavg: with Wi‑Fi 15 cm away from the bottom speaker, the value decreased by a factor of 115; at the top speaker, by a factor of 167.

Conclusion. Device holders distance the smartphone from the user and enhance the VC safety. A failure in Internet connection increases radiation. In the future, it would be advisable to study other smartphone models and work out the regulation of EMF during calls.

For citations:


Budykina T.A., Blokhin A.A. Assessment of Electromagnetic Radiation Intensity from Smartphones in Video Communication Mode. Safety of Technogenic and Natural Systems. 2026;10(3):256-265. https://doi.org/10.23947/2541-9129-2026-10-3-256-265. EDN: KXPYFN

Introduction. In the 2020s, the issue of participants' exposure to electromagnetic radiation during video conferencing (VC) has become increasingly important. The widespread use of these services is primarily due to coronavirus pandemic‑related self‑isolation. Other reasons include the mobility of students and employees, the proliferation of remote and hybrid work arrangements, and lower prices for mobile devices with video capabilities. This transformation can be demonstrated through the following example. Prior to the pandemic, a well-known free solution existed. During the time of self-isolation, six new products with similar functionality were added to the market. Later, two more appeared [1].

Since 2019, hardware and software terminals, server systems, cloud services, and smartphone applications have been used to make video communication more accessible. Yandex Telemost, VK Calls, MTS Link, and Max are the leaders in the Russian segment of online communication.

Non-ionizing electromagnetic radio waves that occur during VC can cause local heating of tissues. The question of how harmful this is requires comprehensive research. The authors of this article found out, that publicly available publications did not consider the massive use of video content on mobile devices, which led to the hypothesis that electromagnetic radiation (EMR) from smartphones is amplified in modern VC scenarios. Considering this, it is advisable to investigate the effect of Wi-Fi on the EMR values, as this particular issue has not been addressed in the literature. However, there are studies that assess the effects of mobile phones on the human body during conversation, that is, when using the device for its intended purpose. Nikitina V.N. and Vtornikova N.I. note the increased thermal effect of electromagnetic radiation, which is unfavorable for humans [2]. First of all, the adverse effect affects the brain [3], visual and auditory analyzers, and the thyroid gland [4]. According to some reports, direct contact of a mobile phone with a person's head causes a risk of long-term consequences and increases the likelihood of brain tumors [5], Alzheimer's disease, and early dementia [6].

Khorseva N.I. [7] notes fatigue, significant deterioration in performance indicators, sensorimotor reactions, fatigue, and cognitive functions in children and adolescents due to the use of mobile communication devices. Belpomme D. and Rakhmanin Yu.A. prove that mobile phones are the cause of changes in neurodevelopment and neurobiological behavior [8], as well as memory disorders, learning difficulties, attention problems, and behavioral issues in children [9].

Direct contact of the device with the human head clearly explains the identified negative effects on the nervous system and analyzers. However, there are other, non-obvious dependencies that require further study. Thus, the use of mobile phones for more than four hours per day affects the reproductive performance of both men [10] and women [11].

Thus, it can be argued that researchers' attention has been focused on studying the risks associated with using a mobile phone while talking without headphones, with the device in contact or near contact with the head. However, the situation where the user is engaged in video conferencing has not been considered, and the EMR has not been determined for such cases. As part of this study, we have attempted to address this gap by conducting a survey for the first time and subsequently proposing safety recommendations. To our knowledge, no similar surveys have been conducted before. The aim of this research is to determine the level of electromagnetic radiation emitted by smartphones during video communication sessions over the mobile internet and Wi-Fi networks.

To achieve this goal, we have set the following tasks:

— determination of the maximum and average values of electromagnetic radiation (energy flux density, EFD) at a distance of 0 cm and 15 cm from the top and bottom speakers of two devices (smartphones) during video calls;

— assessment of the impact of Wi-Fi usage on the EMR value;

— identification of points with the highest electromagnetic radiation levels in smartphones.

Materials and Methods. The level of electromagnetic radiation emitted by smartphones was measured using a PZ-41 device, which included three antenna converters: AC-1, AC-2, and AC-3. High-frequency electromagnetic field was converted into a constant voltage that was then applied to a measuring device. This device processed information and displayed the parameters of the electromagnetic field on a screen. The manufacturer of this device is Special Design Bureau PiTON, located in Nizhny Novgorod.

Using the AP-1 antenna, the maximum and average values of the energy flux density (EFDmax, EFDavg, µW/cm2) were recorded under the following conditions:

— averaging time of the measured parameter displayed on the instrument panel — 1 minute;

— range of measured frequencies — 0.3–40 GHz;

— energy flux density — 0.26–100,000 µW/cm2;

— frequency for EFD determination — 2450 MHz.

It should be noted that Russian mobile operators operate in subscriber ranges from 790 MHz to 2700 MHz. 4G (LTE) mobile data transmission standards use a frequency of 2600 MHz [12]. When using Wi-Fi technology, the operating frequency is 5150–5850 MHz.

Figure 1 illustrates the operation of the PZ-41 device for evaluating the EFD at frequencies of 2450 MHz and 5150 MHZ, measuring both maximum and average values during a 1-minute exposure.

Fig. 1. PZ-41 device interface when measuring EFDmax and EFDavg at frequencies of 2450 MHz and 5150 MHZ
a — determination of EFDmax at a frequency of 2450 MHz; b — determination of EFDavg at a frequency of 2450 MHz;
c — determination of EFDmax at a frequency of 5150 MHz; d — determination of EFDavg at a frequency of 5150 MHz

EFD was measured at the Fire Safety Department of Civil Defense Academy of the Ministry of Emergency Situations of Russia on a laboratory bench simulating a work surface with a scale-coordinate paper attached. The smartphone was attached to a dielectric tripod in an upright position (MG 4.3.2501–091), and the measuring device with an antenna was attached to a special holder. The antenna of the PZ-41 was located at a distance of 0 and 15 cm from top and bottom speakers of the smartphone (Fig. 2).

Fig. 2. Experiments at 2450 MHz and 5150 MHz:
a — measurement of the top speaker, side view; b — same, top view

Two mobile devices of different telecom operators, of the same year of manufacture, were tested. Each of them was in operation for 2.5 years.

Specifications of device No. 1:

— iOS operating system (iPhone 14 Рro);

— iOS version — 26.3.1(a);

— device memory capacity — 128 GB;

— telecom operator — Tele2.

Specifications of device No. 2:

— Android operating system (Samsung Galaxy A35 5G);

— version — Android 14;

— device memory capacity — 128 GB;

— telecom operator — MTS.

Smartphones were tested:

— without enabling Bluetooth and NFC modules (always);

— with the Wi-Fi module running (mentioned separately) and with Wi-Fi disabled.

The video was transmitted using the Yandex Telemost service. The product of the Russian company, Yandex, has been operating on iOS and Android platforms since the summer of 2020.

To create a permanent live video conference, a training video with sound was played on tablet (device 3). The content was transmitted from smartphone 1 to smartphone 2 using the internet. Devices 1 and 2 were located in different rooms. During the experiment, we simulated the interference of people moving around and making gestures near the phone. Such cases were marked with * in the table. Data received through a poor internet connection was marked with #.

When using Wi-Fi, the distance from the router was not more than 10 meters, taking into account the obstacle in the form of a reinforced concrete wall.

We considered the hypothesis of increased EMR during smartphone operation in video communication mode. To assess its validity, we measured the EMR of devices in call mode without turning off Wi-Fi.

When measuring the EMR of device 1 in talk mode, we obtained the following average results:

— 0 cm from the bottom speaker — EFDmax = 1.101 µW/cm2, EFDavg = 0.258 µW/cm2;

— 0 cm from the top speaker — EFDmax = 0.633 µW/cm2, EFDavg = 0.221 µW/cm2;

— 15 cm from the bottom speaker — EFDmax = 0.396 µW/cm2, EFDavg = 0.014 µW/cm2;

— 15 cm from the top speaker — EFDmax = 0.276 µW/cm2, EFDavg = 0.027 µW/cm2.

There were small EFD values in the talk mode, especially at a distance of 15 cm. The data collected was important for comparing EFD results with video call mode.

Research Results. Tables 1–4 show the results of measurements of EFDmax and EFDavg in video call mode at two control points — at a distance of 0 cm and 15 cm from the top and bottom speakers of smartphones at a frequency of 2450 MHz. The tables present five EMR values according to the order of measurements. Measurements 1–5 were conducted on the same day and in the same order.

Table 1

Maximum and average EFD values for device 1 in video communication mode using the Yandex Telemost application with Wi-Fi or signal reception

Measured value, µW/cm²

Experiment no.

Averaged value for experiments 1–5

1

2

3

4

5

Measuring point — 0 cm from the top speaker

EFDmax

4.133

4.881

9.732#

3.315

1.551*

4.722

EFDavg

0.570

0.548

0.548

0.568

0.514*

0.549

Measuring point — 0 cm from the bottom speaker

EFDmax

8.197

6.877*

6.752

5.299

3.674

6.159

EFDavg

5.121

4.622*

4.981

0.436

0.365

3.105

Measuring point — 15 cm from the top speaker

EFDmax

2.186

1.696

2.049

1.794

2.293

2.004

EFDavg

0.638

0.927

0.952

1.130

1.262

0.982

Measuring point — 15 cm from the bottom speaker

EFDmax

2.616

1.832

2.694

1.325

1.860

2.065

EFDavg

0.651

0.904

0.922

0.887

0.904

0.854

Table 2

Maximum and average EFD values for device 1 in video communication mode using the Yandex Telemost application without Wi-Fi or signal reception

Measured value, µW/cm²

Experiment no.

Averaged value for experiments 1–5

1

2

3

4

5

Measuring point — 0 cm from the top speaker

EFDmax

28.110

20.412

20.033

19.321

27.372

23.049

EFDavg

15.939

15.652

15.303

14.216

12.870

14.796

Measuring point — 0 cm from the bottom speaker

EFDmax

62.679

61.704

69.125

60.016

72.136

65.132

EFDavg

33.024

45.233

43.580

46.344

51.335

43.903

Measuring point — 15 cm from the top speaker

EFDmax

5.317

5.548

6.002

7.201*

7.089

6.231

EFDavg

4.002

4.227

4.493

4.146*

4.169

4.207

Measuring point — 15 cm from the bottom speaker

EFDmax

7.767

5.735

6.532

5.866

7.252

6.630

EFDavg

4.180

3.813

4.459

4.444

4.015

4.182

Table 3

Maximum and average EFD values for device 2 in video communication mode using the Yandex Telemost application with Wi-Fi or signal reception

Measured value, µW/cm²

Experiment no.

Averaged value for experiments 1–5

1

2

3

4

5

Measuring point — 0 cm from the top speaker

EFDmax

2.136

3.126

3.633

2.398

1.656

2.589

EFDavg

1.015

0.896

1.338

0.836

0.839

0.985

Measuring point — 0 cm from the bottom speaker

EFDmax

0.655

1.566

0.947

0.838

0.661

0.933

EFDavg

0.218

0.336

0.257

0.214

0.208

0.246

Measuring point — 15 cm from the top speaker

EFDmax

0.574

0.472

0.544

0.360

0.002

0.392

EFDavg

0.021

0.020

0.012

0.010

0.001

0.013

Measuring point — 15 cm from the bottom speaker

EFDmax

0.268

0.602

0.490

0.073

0.094

0.305

EFDavg

0.014

0.027

0.008

0.001

0.002

0.010

Table 4

Maximum and average EFD values for device 2 in video communication mode using the Yandex Telemost application without Wi-Fi or signal reception

Measured value, µW/cm²

Experiment no.

Averaged value for experiments 1–5

1

2

3

4

5

Measuring point — 0 cm from the top speaker

EFDmax

25.587

30.371

19.764

17.900*

15.520

21.828

EFDavg

14.640

14.718

11.432

9.015*

11.296

12.220

Measuring point — 0 cm from the bottom speaker

EFDmax

3.283

3.281

3.096

3.596

4.734*

3.598

EFDavg

1.819

1.408

1.677

2.126

2.250*

1.856

Measuring point — 15 cm from the top speaker

EFDmax

3.599

3.394

2.996

3.026

3.794

3.362

EFDavg

2.223

2.200

2.025

1.877

2.568

2.178

Measuring point — 15 cm from the bottom speaker

EFDmax

1.905

2.163

3.000

2.994

2.382

2.489

EFDavg

0.881

0.781

1.167

1.633

1.302

1.153

Table 5 summarizes the average values for the five measurements presented in Tables 1–4, as well as the difference between the EFD values recorded for iOS smartphones and Android. This difference was defined as the quotient of dividing a larger value by a smaller one. It is important to note that the iOS indicator was found to be higher in almost all experiments compared to that of Android.

Table 5

Averaged EFD values for devices 1 and 2 in video communication mode using the Yandex Telemost application with and without Wi-Fi

Measured parameter, µW/cm²

Device 1

Device 2

Excess of EFD indicators of iOS

in comparison with Android

Without Wi-Fi

With Wi-Fi

Excess

Without Wi-Fi

With Wi-Fi

Excess

Without Wi-Fi

With Wi-Fi

Measuring point — 0 cm from the top speaker

EFDmax

23.049

4.722

4.9

21.828

2.589

8.4

1.1

1.8

EFDavg

14.796

0.549

26.9

12.220

0.985

12.4

1.2

0.6

Measuring point — 0 cm from the bottom speaker

EFDmax

65.132

6.159

10.6

3.598

0.933

3.9

18.1

6.6

EFDavg

43.903

3.105

14.1

1.856

0.246

7.5

23.7

12.6

Measuring point — 15 cm from the top speaker

EFDmax

6.231

2.004

3.1

3.362

0.392

8.6

1.9

5.1

EFDavg

4.207

0.982

4.3

2.178

0.013

167.5

1.9

75.5

Measuring point — 15 cm from the bottom speaker

EFDmax

6.630

2.065

3.2

2.489

0.305

8.2

2.7

6.8

EFDavg

4.182

0.854

4.9

1.153

0.010

115.3

3.6

85.4

Discussion. The data in Tables 1–5 allow us to make ten reasonable conclusions.

  1. For device 1, when measured at a distance of 0 cm from the speakers using Wi-Fi, higher EFD values were recorded for the bottom speaker (6.159 µW/cm2 and 3.105 µW/cm2). The corresponding indicators for the top speaker were 4,722 µW/cm2 and 0.549 µW/cm2. At a distance of 15 cm, there were no significant differences in the values of EFDmax and EFDavg. The values for EFDmax were 2.004 and 2.065; for EFDavg, they were 0.982 and 0.854. This confirmed the safety principle of “protection by distance”. Intense interference near smartphones did not significantly affect EFD, in contrast to the unstable internet, which doubled the average value (Table 1).
  2. For device 1 without Wi-Fi, at a distance of 0 cm, extremely high values were obtained for the bottom speaker: EFDmax — 65.132 µW/cm2, EFDavg — 43.903 µW/cm2. The top one had figures of 23.049 and 14.796, respectively, which were more than 10 times higher than those obtained with Wi-Fi enabled. At a distance of 15 cm, the values of EFDmax and EFDavg of the lower speaker decreased by 10 times. Interference had almost no effect on the result (Table 2).
  3. For device 2, at a distance of 0 cm with Wi-Fi, the values of 2.589 (maximum) and 0.985 (average) were recorded at the top speaker. These values were higher than those for the bottom speaker (0.933 and 0.246, respectively). No significant differences were found between the top and bottom speakers at a distance of 15 cm. For EFDmax — 0.392 and 0.305; for EFDavg — 0.013 and 0.010 (Table 3).
  4. For device 2, without Wi-Fi, when measured at a distance of 0 cm, extremely high values were recorded for the top speaker: 21.828 for EFDmax and 12.220 for EFDavg. The corresponding measurement results for the bottom speaker were 3.598 µW/cm2 and 1,856. At a distance of 15 cm, the values of EFDmax and EFDavg decreased by 5–7 times for the top speaker and by approximately 1.5 times for the bottom speaker. Interference can both reduce and increase EFD, but the pattern needs to be further investigated (Table 4).
  5. The use of Wi-Fi technology for video communication mode could reduce EFDmax and EFDavg by 3.1–26.9 times for device 1 and 3.8–167.5 times for device 2 (Table 5).
  6. The use of Wi-Fi technology for video communication mode reduced EFDavg more significantly than EFDmax. This was true for both devices (Table 5).
  7. At a distance of 0 cm, higher EFD values were recorded for the bottom speaker of device 1 and for the top speaker of device 2. This was due to their design features (Table 5).
  8. In comparison with device 2, device 1 had a higher EFD, it reached 85 times. This result was obtained when measuring the bottom speaker at a distance of 15 cm with Wi-Fi (Table 5).
  9. The highest decrease in EFDavg for device 2 was 115 times and 167 times for the bottom and top speakers, respectively. Such indicators were recorded at a distance of 15 cm with Wi-Fi (Table 5).
  10. In case of failures in the Internet network, the EFD values increased.

The results support the hypothesis that there is an increase in electromagnetic radiation during video calls on a smartphone. This research fills a gap in our knowledge in this area. It opens up the possibility for further studies to explore and understand more about EMR radiation while using smartphones for video conferencing, online gaming, virtual and augmented reality, etc.

An important finding of the study is a significant reduction in electromagnetic radiation when using Wi-Fi technology for video communication on a smartphone. This can be attributed to the characteristics of communication via Wi-Fi, as the short range of the router means that the smartphone does not require a powerful transmitter.

Conclusion. The principle of “protection by distance” has been experimentally confirmed: when you move away from a smartphone by 15 centimeters, electromagnetic radiation decreases. This means that there is a safe way to make video calls. We recommend using gadget holders to create distance between the person and the device. Do not wear the device on your body or lean against it during a video call, and make sure to remove it at least 15 centimeters from your body.

For different models of mobile devices, high EMR values were found at different points, which could be explained by the design features of smartphones. For an iOS device, the bottom speaker was found to have high values, while the top speaker was found to have high values on the Android platform. Users should study the design of the device to form their own safety rules. Further research is needed to build the EMP fields of personal mobile communication systems.

It has been proven that, due to the characteristics of the transmitter, a failure in the internet connection can lead to an increase in energy flux density. This should be communicated to users.

The results obtained are of practical importance and offer promising prospects for future research. They may include:

— construction of fields of spatial distribution of the energy flux density from a smartphone in video communication mode,

— conducting similar measurements with other smartphone models,

— development of recommendations for safe operation,

— introduction of EMR norms during remote communication using smartphones.

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About the Authors

T. A. Budykina
Civil Defense Academy of the Ministry of Emergency Situations of Russia
Russian Federation

Tatyana A. Budykina, Dr. Sci. (Eng.), Professor of the Fire Safety Department 

1, Sokolovskaya Str., Novogorsk district, Khimki, Moscow Region, 141435



A. A. Blokhin
Civil Defense Academy of the Ministry of Emergency Situations of Russia
Russian Federation

Andrey A. Blokhin, Cand. Sci. (Eng.), Associate Professor of the Fire Safety Department

1, Sokolovskaya Str., Novogorsk district, Khimki, Moscow Region, 141435



For the first time, the radiation levels of smartphones have been measured during video communication. The study has found that radiation is higher during video calls compared to normal conversations. Unstable connections can double the average radiation level. Moving the smartphone by fifteen centimeters away can significantly reduce the impact. Wireless networks also reduced radiation in the models studied. These results can be used to develop guidelines for safe video communication.

Review

For citations:


Budykina T.A., Blokhin A.A. Assessment of Electromagnetic Radiation Intensity from Smartphones in Video Communication Mode. Safety of Technogenic and Natural Systems. 2026;10(3):256-265. https://doi.org/10.23947/2541-9129-2026-10-3-256-265. EDN: KXPYFN

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