Real-Time Communication Network Using Firebase Cloud IoT Platform for ECMO Simulation
Extracorporeal membrane oxygenation (ECMO) is a high-complexity life-saving procedure where quick and coordinated interventions are required to avoid mortality. ECMO perfusionists and nurses must be well trained to respond to time-critical emergencies, using simulation-based education, which currently rely on rudimental ECMO simulation processes. Implementing a simulation system for such complex medical procedure necessitates a robust, well-coordinated underlying architecture. In this paper, the use of Internet of Things (IoT) service Firebase is presented in the case study of an ECMO simulator. Features of the proposed solution are discussed and justified in the given use case including latency, hardware compatibility, and data management. For the used case of ECMO simulation system, Firebase proved to be a proper communication solution that satisfied the urgent nature of medical training.
Item Type | Other |
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Uncontrolled Keywords | Internet of Things; biomedical communication; biomedical equipment; cloud computing; computer based training; digital simulation; medical computing; public domain software; ECMO perfusionists; ECMO simulation system; ECMO simulator; Firebase cloud IoT platform; Internet of Things service Firebase; complex medical procedure; coordinated interventions; extracorporeal membrane oxygenation; high-complexity life-saving procedure; medical training; nurses; proper communication solution; real-time communication network; rudimental ECMO simulation processes; simulation-based education; time-critical emergencies; Cloud computing; Databases; Microcontrollers; Real-time systems; Training; Wireless fidelity; ECMO simulation; and clinical training; internet-of-things; real-time communications |
Subjects |
Computer Science(all) > Hardware and Architecture Energy(all) > Renewable Energy, Sustainability and the Environment Social Sciences(all) > Communication Computer Science(all) > Artificial Intelligence Computer Science(all) > Computer Networks and Communications |
Divisions |
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Date Deposited | 18 Nov 2024 12:34 |
Last Modified | 18 Nov 2024 12:34 |