Preprint Article Version 1 This version is not peer-reviewed

A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios

Version 1 : Received: 3 September 2024 / Approved: 5 September 2024 / Online: 5 September 2024 (12:33:10 CEST)

How to cite: Orro, A.; Geminiani, G. A.; Sicurello, F.; Modica, M.; Augello, A.; Botteghi, M. A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios. Preprints 2024, 2024090440. https://doi.org/10.20944/preprints202409.0440.v1 Orro, A.; Geminiani, G. A.; Sicurello, F.; Modica, M.; Augello, A.; Botteghi, M. A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios. Preprints 2024, 2024090440. https://doi.org/10.20944/preprints202409.0440.v1

Abstract

Wearable devices have a significant impact on society and recent advancements in modern sensor technologies are opening up new possibilities for healthcare applications. Continuous vital sign monitoring using IoT can be a crucial tool for emergency management, reducing risk in rescue operations and ensuring the safety of workers.The massive amounts of data, high network traffic, and computational demands of a typical IoT monitoring application can be challenging to manage with traditional infrastructure. Cloud computing provides a solution with its built-in resilience and elasticity capabilities.This article presents a cloud-based monitoring architecture for remote vital sign tracking of paramedics and medical workers through the use of a mobile wearable IoT device. It enables the management of ECG, breathing patterns, and other vital signs during work sessions, and sends real-time alarm events to a personnel management center. The platform was extensively used and tested in a large-scale monitoring application for tracking the activities of emergency room and ambulance workers, and the results of this testing are presented.

Keywords

occupational health monitoring; cloud computing; real-time emergency management; wearable device; IoT; digital health

Subject

Computer Science and Mathematics, Information Systems

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