Environmental Public Health Journal 2014 | BCIT Institutional Repository

Environmental Public Health Journal 2014

Bluetooth’s impact on radiation emissions
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., Project submitted in partial fulfillment of the requirement for the degree of Bachelor of Technology in Environmental Health, British Columbia Institute of Technology, 2014., Peer-reviewed article, Published., Peer reviewed, Bluetooth, cellphone, EMF radiation, Apple, Samsung
Wi-Fi radiation levels at BCIT
Objective: To determine if there are any difference in the amount of EMF Wi-Fi radiation being emitted between three locations at the BCIT campus in Burnaby, BC. Background: Wi-Fi radiation is widely being used in today’s society for the quick access it gives us to connect to the internet. Some cities in the United Kingdom have installed many Wi-Fi devices throughout the public domain so people can be connected all the time. Furthermore, most schools are being outfitted with routers to provide internet access for their students. But, as this paper will show, new research is forcing a shift in the thinking of some policy makers in choosing to install these connections in the public domain. Method: To measure the amount of non-ionizing EMF radiation being absorbed by the body, an Extech RF meter was used. This instrument provides instantaneous and average readings for a particular area one measures. During the experiment, the RF meter was held stationary at one location for approximately 10-15 seconds in order to stabilize the reading. The average value was taken as the instantaneous reading was fluctuating. This process was done in 3 buildings at BCIT and in order to increase the reliability and validity, 30 data points were collected from each building. Results: The Tests of Assumption showed that the data was not normally distributed as there was more than one “Reject” at the 0.05 probability level. For analysis, the Krukal-Wallis One-Way ANOVA was utilized and results showed that due to a high probability level of 0.57, the H0 could not be rejected and as a result there are no differences in radiation levels being emitted into the buildings tested. Conclusion: The amount of Wi-Fi radiation in the three buildings tested at BCIT were not significantly different from one another., Project submitted in partial fulfillment of the requirement for the degree of Bachelor of Technology in Environmental Health, British Columbia Institute of Technology, 2014., Peer-reviewed article, Published., Peer reviewed, Wi-Fi, EMF, Radiation, BCIT, Schools, Public, Building, Internet