## 5 Conclusions  
The evaluation and monitoring of temperature variation and SAR in an indoor environment on the human tissue of a stationary and moving subject were the main objectives of the proposed study. Over many years of work, the modelling and measurement of SAR and temperature values on individuals have been the subject of the scientific research. Figure 12: SAR as a function of electromagnetic wave frequency (in GHz) for a subject exposed to electromagnetic sources located at three different distances: 0.5 m, 1.0 m, and 2.0 m.  
Figure 13: FFNN results: (**a**) true vs. predicted SAR values; (**b**) residuals distribution. Based on the strength of the electromagnetic field generated by everyday sources, the analysis of SAR and temperature variation on the human body covers a topic that is not negligible for human health. This consideration has led to meticulous research work, which involved various types of signal measurements and analyses. The results indicate that the tissue regions most vulnerable to temperature changes can be identified using trends based on the source and the subject's behaviour within an indoor environment. Based on the philosophy of the integrated approach, this study involved the development of an electronic device that collects and processes data from SAR sensors and an infrared temperature sensor, as well as the application of a predictive model capable of analysing the acquired signals. The published results underscore how essential real-time data acquisition is. In fact, the acquired signals provide valuable insights into the dynamic interaction between human tissues and electromagnetic exposure in controlled environments. The experimental results validate the performance of the device, confirming its utility in both laboratory and practical applications. Nonetheless, this proposed study identified some objective critical issues, represented by the sensitivity of the sensors to external factors, such as environmental fluctuations, and the accuracy of the calibration. Furthermore, the adaptability of the device to different operational scenarios and its ability to differentiate between various types of fabric and environmental noise require further improvements. For this reason, future research will focus on addressing the identified issues, directing efforts towards improving sensor robustness and enhancing signal processing algorithms to mitigate interference. These advancements aim to establish the device as a reliable tool for broader applications in biomedical research and public health monitoring. Conceptualization, F.L., S.A.P., G.A. and D.P. ; methodology, F.L., S.A.P., S.C. and L.B. ; software, F.L., S.A.P., G.A. and D.P. ; validation, F.L., S.A.P., G.A. and S.C.; formal analysis, F.L., S.A.P., G.A. and D.D.C. ; investigation, F.L., S.A.P. * [PERSON] (2021) [PERSON] Assessment of human exposure (including interference to implantable devices) to low-frequency electromagnetic field in modern microgrids, power systems and electric transports. _Energies_**2021**, _14_, 6789. [CrossRef]
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