A study of SAR pattern in biological tissues due to RF exposure

Kaur, Bineet; Singh, Sukhwinder; Kumar, Jagdish

doi:10.1109/raecs.2015.7453301

Cited by 7 publications

(3 citation statements)

References 30 publications

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“…Ilvonen et al [24] analyzed the effect of magnetic field induced through GSM mobile phones was considerably lower than the basic restriction limit given. The biological effects of mobile phone radiations studied in literature includes anxiety, sleep disorders, memory loss, pain in ear and temperature rise [25] in surrounding nerves, complicated birth and miscarriages in case of pregnant woman, effect on eyes [26]. In contrast to the research on increase in the alpha band power, in 2007 Perentos et al [27] found no significant change in the alpha power due to mobile phone radiations.…”

Section: Related Studymentioning

confidence: 99%

“…EEG is due to the neural activation inside the brain that controls the functioning of the whole body system. EEG consists of five brain waves viz; delta (0.5-4 Hz), theta (4)(5)(6)(7)(8), alpha (8)(9)(10)(11)(12), beta1 (12)(13)(14)(15)(16)(17)(18)(19)(20), beta2 (20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) [9] and gamma (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40)(41)(42)(43)(44)(45). Each wave can be termed as a clock signal for the other body organs for proper functioning and also for the synchronization.…”

Section: Introductionmentioning

confidence: 99%

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Impact analysis of mobile phone electromagnetic radiations on human electroencephalogram

2019

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The experimental study of electromagnetic interference of mobile phone radiations on brain waves is a contemporary research area and the ever-increasing use of mobile phones make it more imperative to explore the problem area in detail. Electromagnetic signal from mobile phones operating in Global System for Mobile (GSM) and wide band code division multiple access (WCDMA), has been considered in this paper and their interference impacts have been analyzed on the human electroencephalogram (EEG). The impact on brain waves i.e., delta, theta, alpha, beta and gamma waves are analyzed in five modes namely ideal mode i.e., when mobile phone is not in use, transmission mode and the receiving modes of second generation (2G) and third generation (3G) networks. The data has been acquired from 75 young and healthy students of a post graduate institute while the students were making their routine calls. The acquired EEG signal is analyzed using various parameters viz.; Approximate Entropy(ApEn), Largest Lyapunov Exponent (LLE), Hurst Exponent (HE), Correlation dimension (CD) and the power of the brain waves have also been analyzed. It has been found that due to mobile phone usage, there is variation in the nonlinear parameters and increase in the power of the alpha brain waves at T5O1 during 3GRx and decrease in alpha power at the P4O2 channel in all modes. It has been observed that the change at the right temporal region is more, the side to which mobile phone was held. The Statistical analysis has also been done using SPSS software which shows significant variations at some of the channels in different modes.

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Section: Related Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact analysis of mobile phone electromagnetic radiations on human electroencephalogram

2019

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“…5G signal work frequency range is very wide, it will be easy to damage the radio frequency power amplifier. At the same time, it has a negative impact on the health of personnel in the secret-related places, which makes people have resistance and low market acceptance [2,3].…”

Section: Introductionmentioning

confidence: 99%

Research on synchronous coherent jamming technology of 5G mobile phone signal

Qian

et al. 2023

Third International Conference on Sensors and Information Technology (ICSI 2023)

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The traditional mobile phone signal blocker adopts high power broadband noise suppression technology, which has poor jamming effect and has adverse effects on the health of people in the shielded area. This paper proposes a synchronous coherent jamming technology that jams with 5G mobile phone signals. According to the characteristics of 5G base station downlink signals, the technology can conduct coherent jamming modulation to the synchronous signal in the process of mobile phone search and destroy the cell search process of mobile phone terminals. It is suitable for 5G, 4G, and other mobile phone terminals. The simulation results show that the jamming signal is coherent with the base station downlink signal, and has the advantages of narrow jamming band width and high power utilization.

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