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Cloud-assisted Industrial Internet of Things (IIoT) – Enabled framework for health monitoring

Hossain, M. Shamim ; Muhammad, Ghulam

Computer networks (Amsterdam, Netherlands : 1999), 2016-06, Vol.101, p.192-202 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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Título:
Cloud-assisted Industrial Internet of Things (IIoT) – Enabled framework for health monitoring
Autor: Hossain, M. Shamim ; Muhammad, Ghulam
Assuntos: Cloud computing ; Cloud-assisted system ; ECG monitoring ; Electronic devices ; Health care ; Healthcare Industrial Internet of Things (HealthIIoT) ; Industrial applications ; Internet ; Internet of Things ; IoT-driven healthcare ; Medical devices ; Medical electronics ; Medical equipment ; Medical personnel ; Monitoring ; Monitoring systems ; Older people ; Patients ; People with disabilities ; Quality of care ; Sensors ; Signal watermarking ; Telemedicine ; Theft ; Validation studies ; Watermarking
É parte de: Computer networks (Amsterdam, Netherlands : 1999), 2016-06, Vol.101, p.192-202
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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Descrição: The promising potential of the emerging Internet of Things (IoT) technologies for interconnected medical devices and sensors has played an important role in the next-generation healthcare industry for quality patient care. Because of the increasing number of elderly and disabled people, there is an urgent need for a real-time health monitoring infrastructure for analyzing patients’ healthcare data to avoid preventable deaths. Healthcare Industrial IoT (HealthIIoT) has significant potential for the realization of such monitoring. HealthIIoT is a combination of communication technologies, interconnected apps, Things (devices and sensors), and people that would function together as one smart system to monitor, track, and store patients’ healthcare information for ongoing care. This paper presents a HealthIIoT-enabled monitoring framework, where ECG and other healthcare data are collected by mobile devices and sensors and securely sent to the cloud for seamless access by healthcare professionals. Signal enhancement, watermarking, and other related analytics will be used to avoid identity theft or clinical error by healthcare professionals. The suitability of this approach has been validated through both experimental evaluation, and simulation by deploying an IoT-driven ECG-based health monitoring service in the cloud.
Editor: Amsterdam: Elsevier B.V
Idioma: Inglês

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Cloud-assisted Industrial Internet of Things (IIoT) – Enabled framework for health monitoring

Hossain, M. Shamim ; Muhammad, Ghulam

Amsterdam: Elsevier B.V

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