Architecture and Organizational Protocol of a Connected Medical Monitoring Device

The rapid advancement of Internet of Things (IoT) technologies and embedded systems has enabled the development of medical remote monitoring solutions that allow continuous, long-distance patient supervision. These systems rely on well-structured architectures, integrating acquisition, processing, and transmission units to ensure effective care of patients with chronic conditions ^[1]. A connected medical monitoring device typically consists of several core components. The acquisition unit gathers physiological signals using biomedical sensors, while the processing unit applies algorithms for analysis and filtering to extract meaningful information ^[2]. Finally, the transmission unit forwards the processed data to a host computer or a monitoring platform, using wireless communication technologies such as Bluetooth, Wi-Fi, LoRaWAN, or optical wireless communication ^[3]. However, designing such systems poses several challenges, particularly in terms of interoperability, energy efficiency, and data security. Organizational protocols play a crucial role in structuring communication between modules, ensuring secure and reliable transmission of medical data ^[4]. Additionally, the integration of artificial intelligence and cloud computing is increasingly leveraged to enhance decision-making and data analysis in telemonitoring systems ^[5]. This article provides an in-depth study of the architecture and organizational protocol of a connected medical monitoring system. It highlights key technological choices and implementation challenges, supported by case studies and practical experiments.

METHODS

The development of a connected medical monitoring system follows a rigorous methodological approach involving system architecture design, functional unit development, and implementation of the organizational protocol. This section outlines the main steps taken to ensure the reliability and efficiency of the proposed system.

System Architecture Design

The architecture adopts a modular structure composed of three main units: physiological data acquisition, signal processing, and data transmission. This design follows best practices in the field of telemonitoring systems, aiming for seamless communication and enhanced interoperability ^[6]. The acquisition unit integrates biomedical sensors selected based on their accuracy, low power consumption, and compatibility with existing communication standards. These sensors monitor vital signs such as heart rate, blood oxygen saturation, and body temperature ^[7]. The processing unit uses embedded system architecture with signal processing and anomaly detection algorithms. To optimize both energy efficiency and computational robustness, the system employs low-power microcontrollers and efficient digital signal processing techniques ^[8]. The transmission unit leverages wireless communication technologies suited to medical use cases, including Bluetooth Low Energy (BLE), Wi-Fi, LoRaWAN, and optical wireless communication. These technologies are chosen to ensure secure, low-latency data transfer with minimal energy usage ^{[9], [10]}.

Development of the System's Organizational Protocol

The organizational protocol is designed to manage communication between the system’s various units, ensuring data synchronization and consistency. It follows a hierarchical model in which the acquisition unit sends data in real-time to the processing unit. This unit filters and classifies the data before forwarding it to the host computer or cloud platform ^[11]. A "publish-subscribe" communication paradigm is adopted to streamline integration with digital health platforms and to enhance scalability ^[12]. Moreover, encryption protocols such as AES-128 are implemented to ensure the privacy and security of transmitted medical data ^[13].

RESULTS

Organizational Protocol of the System

The main objective of the project is broken down into a set of operational actions aimed at ensuring the functional coverage of the telemedicine system. To this end, the organization of telemedicine services, based on the identification and interconnection of various types of links between actors, enables the design of organizational models adapted to the specific constraints of a given region. A preliminary analysis of the medical procedures that can be performed remotely helps determine the types of telemedicine relationships to be established between the various stakeholders (health professionals, patients, care facilities). Once combined, these relationships give rise to different organizational models depending on the type of care provided (teleconsultation, tele-expertise, remote monitoring, etc.). The definition of the organizational model therefore involves^[14]:

• Identifying the actors involved for each type of telemedicine act;
• Determining the locations where these acts are to be performed;
• Describing the modes of interaction between the stakeholders.

The development of a formal organizational protocol, followed by its dissemination to all stakeholders, is an essential step to ensure the adoption of the system and guarantee its coherent and efficient functioning.

Table 1: Process for Implementing a Medical Teleconsultation

System Architecture

Overall Diagram

The overall system architecture is presented in a summarized form before the detailed description of each functional unit. The system is structured around four main components: a data acquisition unit, a processing unit, a transmission module, and a host computer responsible for data management and the user interface. The data acquisition unit collects information from various biomedical sensors. All sensors are interconnected in a star topology, converging to a central collection node. The acquired data are then transferred to the processing unit for analysis, filtering, or transformation according to the specific needs of the application. Once processed, the data are transmitted to a local HTTP server via an Ethernet Shield module. This module can be connected to the host computer either directly using a crossed RJ45 cable, or through a local network using a router and a Wi-Fi connectivity module. In the latter case, the data are transmitted wirelessly, facilitating integration into mobile or remote clinical environments. Real-time data visualization and management are ensured by a web platform hosted on the host computer. This interface allows the user to access measurements, interact with the system, and monitor the overall state of the device.

Communication between the requesting station (transmission site) and the target site (expert center) is based on satellite communication. This infrastructure comprises two distinct segments :

• The space segment, consisting of the satellite, equipped with RF transmission and reception devices, directional antennas, as well as high-gain broadband amplifiers.
• The ground segment, composed of fixed or mobile stations located on the surface, integrating transmission and reception equipment and auxiliary devices required to operate the link.

The ground stations include both DTH-type home receivers (Direct-To-Home) and mobile terminals integrated into the medical device, enabling robust and continuous communication even in areas with low terrestrial network coverage.