Development of IoT solutions for the effective control and management of medical simulators.

The IoT ecosystem represents a versatile framework and platforms enabling the seamless connection and interaction among diverse devices via cloud infrastructure. This thesis aims to enhance the potential of IoT technology, particularly within the domain of healthcare, with a focused lens on electrophysiology. Electrophysiology is the study of the body organ's electrical activities, specifically those generated by the heart, and is essential for the understanding, diagnosing, and treatment of cardiac arrhythmias. The primary objective of this thesis is to elevate the functionality of the Ep-David medical simulator by exploiting the robust capabilities offered by Amazon Web Services (AWS). The Ep-David simulator accurately replicates the behavior of electrical signals sent by the heart, simultaneously considering body temperature and blood circulation. Furthermore, Ep-David is designed to be portable, facilitating its utility in various medical and educational settings. The inherent portability of Ep-David required the development of a comprehensive system enabling remote device monitoring and firmware updates. Additionally, a user-friendly interface was crafted to provide real-time insights into simulator status, allowing users to tailor simulations to their specific needs and replicate diverse clinical scenarios. The final product achieved the establishment of seamless bidirectional communication between the device and AWS, facilitated by the MQTT communication protocol. Subsequently, data generated by the simulator is systematically stored, forming a comprehensive database detailing each device manufactured since launching of the project. This database contains essential information such as device identification, simulator type, destination country, current software iteration, and last usage timestamp. Moreover, a dedicated web platform was meticulously crafted, leveraging web services API to access the database. This platform offers users a personalized dashboard for each simulator, granting unprecedented control over simulation parameters. Furthermore, the system's inherent scalability facilitated the seamless integration of additional simulators into the platform, extending its utility beyond the Ep-David model. This thesis created the foundation for linking the Ep-David simulator to the IoT world, unlocking new tools and opportunities for the simulator and its users.