## 3 Results  
Data collection plays a central role in the operation of the deployed IoMT system. This system allows for the real-time monitoring of the vital signs of patients, which implies the continuous and automated collection of data in CSV format. Select medical devices, such as blood pressure monitors, pulse oximeters, and electrocardiographs, regularly and accurately generate data in this format. These data are captured and transmitted through secure network connections to data storage and analysis platforms. The data source in this IoMT system comes from the interconnected medical devices themselves. Each device records and sends information about patients' vital signs, such as blood pressure, heart rate, and oxygen saturation. These data are obtained directly from the sensors incorporated into the devices and are considered primary data, information captured now from the source. By using reliable and validated instruments, it is sought to ensure that the data collected is accurate and representative of the actual condition of the patients. An automated and continuous approach is followed regarding the data collection process. Medical devices are configured to perform periodic vital sign measurements and generate data sent in real-time to the central platform. Data collection is based on transmitting information over secure network connections, such as the internet or wireless networks. This ensures efficient and safe data transfer from the devices to the central system. Furthermore, it is essential to note that, in this context, the accuracy of the data collected is emphasized. Precision is measured in terms of the accuracy and reliability of the measurements made by medical devices. Tests and validations are performed to assess the accuracy of selected instruments and ensure they meet established standards and requirements. This involves comparing known and accepted reference values, both in laboratory and clinical settings. The implemented IoMT system has allowed for the real-time monitoring of the vital signs of the patients, which has improved the quality of care and has allowed the early detection of possible complications. The following devices were selected for the IoMT system, blood pressure monitor, pulse oximeter, and electrocardiograph. These devices meet system requirements and are safe, durable, and efficient in energy and maintenance [38]. The three-layer IoMT architecture proposed by [PERSON] et al. in their work \"IoT based on safe personal health care using RFID technology and steganography\" consists of three layers: (1) The devices layer. In this layer, there are medical devices and sensors that collect health data from patients. These devices may include vital signs monitors, temperature sensors, and fitness-tracking devices. (2) Radio frequency identification (RFID) technology is used to identify and track devices and patients. Finally, (3) the health data collected by these devices is transmitted to the middle layer for processing and analysis. The middle layer manages the health data collected by the devices in the previous layer. Data processing and analysis are carried out here using machine learning techniques and steganography algorithms. Steganography hides health data within images or other digital media to ensure their security and confidentiality during transmission. In addition, this layer also takes care of the authentication and authorization of the devices and users to guarantee the integrity and privacy of the data. In the application layer, there are applications and services for providing personalized and secure medical care. Different types of applications can be developed here, such as remote monitoring systems, telemedicine platforms, and chronic disease management applications. These applications allow healthcare professionals to access patient health data, perform diagnoses, perform follow-ups, and provide treatment recommendations.