Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare

By B. Farahani, F. Firouzi, Victor Chang, M. Badaroglu, Nicholas Constant, K. Mankodiya. Future generations computer systems, 2018

830 citations recorded by the source corpus.

Abstract Internet of Things (IoT) offers a seamless platform to connect people and objects to one another for enriching and making our lives easier. This vision carries us from compute-based centralized schemes to a more distributed environment offering a vast amount of applications such as smart wearables, smart home, smart mobility, and smart cities. In this paper we discuss applicability of IoT in healthcare and medicine by presenting a holistic architecture of IoT eHealth ecosystem. Healthcare is becoming increasingly difficult to manage due to insufficient and less effective healthcare services to meet the increasing demands of rising aging population with chronic diseases. We propose that this requires a transition from the clinic-centric treatment to patient-centric healthcare where each agent such as hospital, patient, and services are seamlessly connected to each other. This patient-centric IoT eHealth ecosystem needs a multi-layer architecture: (1) device, (2) fog computing and (3) cloud to empower handling of complex data in terms of its variety, speed, and latency. This fog-driven IoT architecture is followed by various case examples of services and applications that are implemented on those layers. Those examples range from mobile health, assisted living, e-medicine, implants, early warning systems, to population monitoring in smart cities. We then finally address the challenges of IoT eHealth such as data management, scalability, regulations, interoperability, device–network–human interfaces, security, and privacy.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7051d0cc92a6699e9e5271ba419f5b8f60d0c381

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Citations in the corpus

The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “In [159], the authors demonstrate a decrease in the CPU load, the power consumption, and the response time when the processing is done at the fog layer.”
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018, background): “In that sense, IoT enables Electronic Health (eHealth), Mobile Health (mHealth) and Ambient Assisted Living (AAL) that allow remote monitoring and tracking of patients living alone at home or treated in hospitals, and creates a continuum among these through cloud access [4, 8].”
UbeHealth: A Personalized Ubiquitous Cloud and Edge-Enabled Networked Healthcare System for Smart Cities (2018, background): “[77] discuss the challenges faced in mobile cloud architectures and propose the use of fog computing to enable a faster network for healthcare applications.”
HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments (2019, background): “There is a need to solve the following challenges [22, 23, 9, 10, 11, 12, 14, 15, 16, 17, 18, 19, 20, 21, 24] to recognize the full capability of IoT based fog-computing for healthcare systems: (a) An efficient IoT based Healthcare application is needed which can process a large amount of heart pati”
Enabling Technologies for the Internet of Health Things (2018, neutral): “[18] B.”
A Survey on Internet of Things and Cloud Computing for Healthcare (2019, methodology): “[27] 2018 X • Focus on recent IoT in e-health research.”
Leveraging Fog Computing for Healthcare IoT (2018, background): “This enables a coherent healthcare system at home and in the hospital through the cloud [4, 8].”