## 3 Results
In addition, patients can also access these apps to monitor their health status, receive medication reminders, and communicate with their doctors. The three-layer IoMT architecture proposed by [PERSON] et al. focuses on the security and privacy of health data by using technologies such as RFID and steganography. By using RFID, the identification and tracking of devices and patients is achieved efficiently. Steganography ensures the confidentiality of health data during transmission by hiding it within digital media. This provides personalized and secure medical care, improving the quality of care and protecting patients' privacy. Among the tests, paramount importance was given to the accuracy obtained from the medical devices. Precision measures the accuracy of the obtained values about a true or accepted actual value. In the case of vital signs monitoring, precision refers to the ability of the devices to measure the vital signs of patients accurately. In general, medical devices have specific accuracy requirements that must be met to be used in clinical settings. Precision can be measured through laboratory testing and clinical validation. Table 4 shows the precision values for the selected devices; it can be seen that Device B has the highest precision in measuring heart rate and temperature, while Device A has the highest measurement precision. of blood pressure. It is essential to bear in mind that these values are simulated and that, in reality, they may vary depending on the brand and model of the device, as well as due to their calibration and proper maintenance. Therefore, it is essential to perform precision testing and clinical validation to ensure that the selected devices meet the requirements for use in the IoMT system. Table 5 presents information on 20 patients, including their age, weight, height, previous illnesses, basal body temperature, heart rate, and blood pressure. This information is essential for monitoring vital signs and detecting possible health problems. By analyzing the table, we can see that most of the patients have some previous disease, which can affect their general health status and the way their condition should be monitored. In addition, basal blood pressure varies considerably between patients, indicating the need to personalize vital signs monitoring for each patient. We can also notice that the basal body temperature varies between 36.6 \({}^{\circ}\)C and 37.3 \({}^{\circ}\)C, a normal variation in body temperature. Basal heart rate varies between 70 and 96 beats per minute, a normal variation in resting heart rate. The Table provides single measurements of various health indicators for a group of patients. However, it is essential to note that the IoMT system can also assess the dynamics of patients' status over time. It would be beneficial to include a graphical representation of the dynamics of the indicators in the example of several patients to have a complete picture of how these values can change over time. Regarding the measures taken to correct the status in case of identified problems, it is essential to mention that the IoMT system can generate alerts and notifications when anomalies or deviations from the established reference values are detected. These alerts can be sent to the medical personnel in charge of the patients so that they can take the appropriate measures. \begin{table}
\begin{tabular}{c c c c} \hline \hline  & **Heart Rate** & **Temperature** & **Accuracy of Blood** \\
**Device** & **Measurement** & **Measurement** & **Pressure** \\  & **Accuracy** & **Accuracy** & **Measurement** \\ \hline Device A & \(\pm\)2 beats per minute & \(\pm\)0.1 \({}^{\circ}\)C & \(\pm\)2 mmHg \\ Device B & \(\pm\)1 beat per minute & \(\pm\)0.2 \({}^{\circ}\)C & \(\pm\)3 mmHg \\ Device C & \(\pm\)3 beats per minute & \(\pm\)0.3 \({}^{\circ}\)C & \(\pm\)4 mmHg \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Accuracy of the measurement of vital signs of different medical devices.