A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios

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 Internet of Things solutions can be a crucial tool for emergency management, reducing risk...

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Main Authors: Alessandro Orro, Gian Angelo Geminiani, Francesco Sicurello, Marcello Modica, Francesco Pegreffi, Luca Neri, Antonio Augello, Matteo Botteghi
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/24/21/6992
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author Alessandro Orro
Gian Angelo Geminiani
Francesco Sicurello
Marcello Modica
Francesco Pegreffi
Luca Neri
Antonio Augello
Matteo Botteghi
author_facet Alessandro Orro
Gian Angelo Geminiani
Francesco Sicurello
Marcello Modica
Francesco Pegreffi
Luca Neri
Antonio Augello
Matteo Botteghi
author_sort Alessandro Orro
collection DOAJ
description 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 Internet of Things solutions can be a crucial tool for emergency management, reducing risks in rescue operations and ensuring the safety of workers. The massive amounts of data, high network traffic, and computational demands of a typical monitoring application can be challenging to manage with traditional infrastructure. Cloud computing provides a solution with its built-in resilience and elasticity capabilities. This study presents a Cloud-based monitoring architecture for remote vital sign tracking of paramedics and medical workers through the use of a mobile wearable device. The system monitors vital signs such as electrocardiograms and breathing patterns during work sessions, and it is able to manage real-time alarm events to a personnel management center. In this study, 900 paramedics and emergency workers were monitored using wearable devices over a period of 12 months. Data from these devices were collected, processed via Cloud infrastructure, and analyzed to assess the system’s reliability and scalability. The results showed a significant improvement in worker safety and operational efficiency. This study demonstrates the potential of Cloud-based systems and Internet of Things devices in enhancing emergency response efforts.
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spelling doaj-art-c73bb8da4afb4f61bad5206d073cd8c52025-08-20T02:49:55ZengMDPI AGSensors1424-82202024-10-012421699210.3390/s24216992A Cloud Infrastructure for Health Monitoring in Emergency Response ScenariosAlessandro Orro0Gian Angelo Geminiani1Francesco Sicurello2Marcello Modica3Francesco Pegreffi4Luca Neri5Antonio Augello6Matteo Botteghi7Institute of Biomedical Technologies CNR, Via Fratelli Cervi, 93, 20054 Segrate, ItalyG&G Technologies Srl, Via Tre Settembre, 99, 47891 Dogana, San MarinoInstitute of Biomedical Technologies CNR, Via Fratelli Cervi, 93, 20054 Segrate, ItalyLogConsulting, Via Provinciale 175/b, Valsamoggia, 40053 Bologna, ItalyDepartment of Medicine and Surgery, School of Medicine and Surgery, “Kore” University of Enna, 94100 Enna, ItalyDepartment of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD 21218, USAAccyourate SpA, Via Ulisse Nurzia, 1/A, 67100 L’Aquila, ItalyExperimental Pathology Research Group, Department of Clinical and Molecular Sciences, Università Politecnica delle Marche, 60121 Ancona, ItalyWearable 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 Internet of Things solutions can be a crucial tool for emergency management, reducing risks in rescue operations and ensuring the safety of workers. The massive amounts of data, high network traffic, and computational demands of a typical monitoring application can be challenging to manage with traditional infrastructure. Cloud computing provides a solution with its built-in resilience and elasticity capabilities. This study presents a Cloud-based monitoring architecture for remote vital sign tracking of paramedics and medical workers through the use of a mobile wearable device. The system monitors vital signs such as electrocardiograms and breathing patterns during work sessions, and it is able to manage real-time alarm events to a personnel management center. In this study, 900 paramedics and emergency workers were monitored using wearable devices over a period of 12 months. Data from these devices were collected, processed via Cloud infrastructure, and analyzed to assess the system’s reliability and scalability. The results showed a significant improvement in worker safety and operational efficiency. This study demonstrates the potential of Cloud-based systems and Internet of Things devices in enhancing emergency response efforts.https://www.mdpi.com/1424-8220/24/21/6992occupational health monitoringcloud computingreal-time emergency managementwearable deviceIoTdigital health
spellingShingle Alessandro Orro
Gian Angelo Geminiani
Francesco Sicurello
Marcello Modica
Francesco Pegreffi
Luca Neri
Antonio Augello
Matteo Botteghi
A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
Sensors
occupational health monitoring
cloud computing
real-time emergency management
wearable device
IoT
digital health
title A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
title_full A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
title_fullStr A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
title_full_unstemmed A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
title_short A Cloud Infrastructure for Health Monitoring in Emergency Response Scenarios
title_sort cloud infrastructure for health monitoring in emergency response scenarios
topic occupational health monitoring
cloud computing
real-time emergency management
wearable device
IoT
digital health
url https://www.mdpi.com/1424-8220/24/21/6992
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