Electromagnetic radiation from mobile phone near ear-skull region

Mat, Dayang Azra Awang; Kho, Franky; Joseph, Annie; Kipli, Kuryati; Sahrani, Shafrida; Lias, Kasumawati; Marzuki, Ade Syaheda Wani

doi:10.1109/iccce.2010.5556752

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…Emissions of thermal radiation was also proven to be much lower with Bluetooth headsets than cellphones as described in Mat et al's (2010) study. Cellphone and Bluetooth headset emissions of thermal radiation were analyzed and compared using a thermal imaging camera; this camera captured the local temperature around the ear-skull region.…”

Section: Bluetooth Hands-free Headsetssupporting

confidence: 52%

“…EMR is made up of RF and thermal radiation and it causes dielectric heating once it penetrates through human body tissue. The skin around the ear-skull area is very thin, so EMR is absorbed quite easily and is known to affect the human immune system (Mat et al, 2010). In the study performed by Mat et al (2010), they found that the specific absorption rate (SAR) was higher in cellphones that operated in higher frequencies (Mat et al compared cellphone frequencies of 900 MHz and 1800 MHz), as they produced higher levels of EMR.…”

Section: Electromagnetic Radiationmentioning

confidence: 99%

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Bluetooth’s impact on radiation emissions

Nguyen¹,

Sciences²,

Sidhu³

2014

ephj

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Introduction: Cellphone usage has increased leaps and bounds over the past decade. With the growing popularity of cellphones come numerous studies on the effects of mobile radiation on human health. Cellphone radiation has been associated with many health implications such as: sleep deprivation, hearing loss, slower sperm, cancers and tumors to name a few; however, more research is needed to confirm these claims. Purpose: The purpose of this research is to determine the Bluetooth impact on radiation levels when it is paired with a cellphone. This is a two-fold process: firstly, to determine radiation levels emitted by the pairing of a cellphone and a Bluetooth headset and comparing it to a control group of the cellphone alone and secondly, comparing the radiation emissions of a paired cellphone with the associated paired Bluetooth headset. Methods: An Extech RF EMF strength meter was used to measure the radiation emission levels (μW/cm2) of various phone types by Apple and Samsung when they were unpaired and paired with a LG HBM-220 Bluetooth device. The radiation emissions of the paired Bluetooth were also measured. Results: There was a statistically significant increase in radiation emissions (μW/cm2) observed in a cellphone paired with a Bluetooth when compared to an unpaired cellphone. This was statistically significant as the p-value (0.00026) was less than the 0.05 and 0.01 values and the power was near 100 % (99.8%). When comparing the paired cellphone with the associated paired Bluetooth, the Bluetooth emitted much more radiation than the cellphone. This data was statistically significant as well as the p-value was at 0.00000 and the power at 100%. Discussion: The findings in this study suggest that Bluetooth headsets increase radiation emissions; however, it is important to note that only one Bluetooth headset model (LG HBM-220) was tested. The results also conflict with Health Canada claims that Bluetooth headsets decrease radiation emissions. More research is needed to confirm the results found in this study. A key limitation of this study was that only Samsung and Apple Inc. brands were tested. Additionally, the equipment used to measure radiation levels (Extech RMF meter) was subject to background radiation sources. Conclusion: The pairing of a LG HBM-220 Bluetooth to a cellphone increases radiation emissions in both the cellphone and Bluetooth when compared to an unpaired cellphone. These increases in emissions when paired would results in additive effects to one’s body.

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Section: Bluetooth Hands-free Headsetssupporting

confidence: 52%

Section: Electromagnetic Radiationmentioning

confidence: 99%

Bluetooth’s impact on radiation emissions

Nguyen¹,

Sciences²,

Sidhu³

2014

ephj

View full text Add to dashboard Cite

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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%

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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“…Although there are few studies on determining these triggering causes, they have gained speed recently. There are scientific studies especially about the effect of electromagnetic waves emitted by mobile phones on human health [24]. The excessive use of smartphones is estimated to cause some organic and psychological health problems.…”

Section: Discussionmentioning

confidence: 99%

The relationship of migraine with smartphone use

Şahin

Dolanbay

2020

Disaster Emerg Med J

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INTRODUCTION:It was aimed to determine the existence of a relationship between smartphone use and the severity and frequency of attacks of migraine in patients diagnosed with migraine who were admitted to the emergency department of a university hospital with the complaint of headache by using the survey method. MATERIAL AND METHODS:Migraine patients who came to the emergency department with headache in the last 1 year, were retrospectively analyzed. Afterwards, 119 patients who were readmitted within 3 months from this patient group were included in the survey study. All patients were asked about their preferences for smartphone use, duration of phone use, and whether they had received migraine treatment previously. The severity of pain was determined according to the visual analog scale. RESULTS:The migraine attacks of 38 patients with drug use were observed 7.65 times on average in a year.In the group without drug use, they were observed 9.80 times on average in a year. While the number of patients, who preferred talking as a preference for smartphone use, was 35 (29.4%), 7 (5.8%) patients preferred messaging, 10 (8.4%) patients preferred playing games, and 67 (56.3%) patients preferred surfing social media -the internet. No significant relationship was found between the severity of migraine pain and the preference for phone use (p = 0.08) (Tab.2). CONCLUSIONS:There is a need for more comprehensive experimental and epidemiological studies to confirm the relationship between migraine severity and the devices with high-frequency electromagnetic areas such as smartphones.

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Electromagnetic radiation from mobile phone near ear-skull region

Cited by 8 publications

References 4 publications

Bluetooth’s impact on radiation emissions

Bluetooth’s impact on radiation emissions

Impact analysis of mobile phone electromagnetic radiations on human electroencephalogram

The relationship of migraine with smartphone use

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