# Analyzing the SAR in Human Head Tissues under Different Exposure Scenarios
## 4 Conclusions  
In this study, the effect of RF-EMF radiation from 900 MHz, and 1800 MHz sources on the human head, and specific tissues in the human head, were investigated for varying antenna powers which cover all exposure levels. SAR 10g values that were measured at a standardized SAR laboratory using signal generators were used to evaluate SAR 10g distribution. The experimental setup was then simulated in CST using these SAR values as a reference. In order to determine how SAR is related to age, gender, and tissue type, different exposure scenarios were applied to baby, child, adult female, and adult male models. The highest SAR 10g values for 900 MHz and 1800 MHz were obtained for the adult male, followed by an adult female, child, and baby over the whole-head region. SAR 10g values vary depending on the excitation signal level, type of the model, and tissue.  
At 900 MHz, the SAR values for the baby range from 0.003 to 1.02 W/kg, while for the child, female, and male, the ranges are 0.003-1.42 W/kg, 0.002-1.57 W/kg, and 0.002-1.82 W/kg, respectively. When evaluating the same parameters at 1800 MHz, the SAR ranges for the baby, children, female, and male are 0.06-1.75 W/kg, 0.07-3.67 W/kg, 0.03-4.46 W/kg, and 0.05-5.15 W/kg, respectively. The ratio of the highest SAR values at 1800 MHz to 900 MHz for the baby, child, female, and male are 1.71, 2.59, 2.85, and 2.83, respectively.  
The SAR analyses conducted in this study help determine whether the operating frequency and power levels pose potential health risks by exceeding established limits for different populations. Additionally, the measured SAR values contribute to the protection of public health and the development of regulations addressing potential risks associated with wireless communication devices.  
The results of this study show that wireless technologies produce different SAR effects on different demographic groups. The fact that the SAR value also increases with increasing operating frequency indicates that SAR values from wireless 5G/6G devices using millimeter wave frequencies, which will soon become prevalent in our lives, will also increase. The information presented in the study can significantly contribute to understanding the impact of wireless technologies on health.  
As this study allows us to determine realistic SAR values through computational human models, it also enables us to make dosimetric studies without using live subjects.  
Conceptualization, A.T. and B.K.E.; methodology, A.T. and B.K.E.; software, A.T.; validation, A.T. and B.K.E.; formalism analysis, A.T.; investigation, A.T.; resources, A.T. and B.K.E.; data curation, A.T. and B.K.E.; writing--original draft preparation, A.T. and B.K.E.; writing--review and editing, A.T. and B.K.E.; visualization, B.K.E.; supervision, B.K.E. All authors have read and agreed to the published version of the manuscript.  
This work is supported by Ondokuz Mayus University Research Fund, Graduate Thesis Support Program with project number PYO.MUH.1904.18.008.  
Not applicable.  
The data that support the findings of this study are available from the corresponding author upon reasonable request.  
The authors would like to thank [PERSON], Ondokuz Mayus University, Faculty of Medicine, Department of Biophysics for providing signal generators.  
The authors declare no conflict of interest.