## 4 Results  
The device described measured SAR and temperature values on five volunteers: three men and two women. The accuracy of the measurement made by the device takes into account both the frequency of the signal, the position of the electromagnetic source, the two different types of measurement made (stationary subject, moving subject), and the ambient temperature. The temperature variations measured are influenced by the heat loss coefficient and the blood flow of the subject being monitored, so it varies from case to case. The sensitivity of the sensors is affected by environmental fluctuations, but overall, the device demonstrates high accuracy in measuring SAR and temperature due to the integration of advanced sensors. Figure 8 shows the comparison between the SAR and temperature values measured by the device and the normative limits, where the solid red line represents the measured temperature values based on the detected SAR, while the dashed red line represents the normative estimate of the temperature variation as a function of SAR. The dotted red line represents the maximum acceptable temperature rise limit (\(\sim\)1 \({}^{\circ}\)C), while the dashed blue lines are the SAR regulatory limits defined by the FCC (1.6 W/kg) and EC (2.0 W/kg). The information received, managed by the intelligent System on Module (SOM), is sent to the database, which stores it and makes it available for processing by the FFNN. The  
Figure 7: PCA: dimensionality reduction for SAR and temperature signals. device forwards to the platform the information needed to monitor the incidence of SAR and temperature change on human tissue. The first data monitored and acquired by the device concern the incidence of SAR and temperature variation on human tissue, show in Figure 9a,b. To enhance the clarity and relevance of the figures, we now provide a detailed mathematical framework for calculating the \"impact\" metric shown on the y-axis. The impact is defined as a function of the specific absorption rate (SAR) and the temperature variation (\(\Delta T\)), which are correlated using empirical data and AI-based predictive modelling. The calculation of the above is determined by Equation (2). \[IMPACT=f(SAR,\Delta T)=\alpha\cdot SAR+\beta\cdot\Delta T \tag{2}\]  
The coefficients \(\alpha\) and \(\beta\) represent empirical parameters derived from experimental data and computational modelling, which influence the relative weight of the specific absorption rate (SAR) and temperature variation (\(\Delta T\)) in the final impact value. The \(\alpha\) coefficient considers the sensitivity of biological tissue to electromagnetic absorption and is influenced by factors such as tissue permittivity, conductivity, and penetration depth as a function of frequency. Higher \(\alpha\) values indicate a greater susceptibility of tissue to SAR effects. The \(\beta\) coefficient modulates the contribution of temperature change to the overall impact and reflects the thermal dissipation characteristics of the tissue, including blood perfusion and thermal conductivity. A higher \(\beta\) value indicates a greater tissue  
Figure 8: Comparison between the SAR and temperature values measured by the device and the normative limits. Figure 9: Variation of SAR and temperature on tissues: (**a**) impact in an indoor environment; (**b**) impact of SAR on human tissue as the temperature changes. response to temperature changes, which can be critical for assessing localized heating effects at high frequencies. Calibrating both coefficients ensure an accurate estimation of the impact and their values are obtained by controlled experiments and optimization techniques based on machine learning. By adjusting \(\alpha\) and \(\beta\), the model can be adapted to different tissue types, exposure conditions, and environmental factors. The SAR is calculated as a function of electromagnetic field strength and electrical properties of human tissue. Omron's infrared sensor measures the change in skin surface temperature due to the absorption of electromagnetic waves.