Bluetooth’s impact on radiation emissions
Notice bibliographique
Résumé

 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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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».