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Open AccessJournal ArticleDOI

A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective

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TLDR
This article surveys the existing and emerging technologies that can enable this vision for the future of healthcare, particularly, in the clinical practice of healthcare and discusses the emerging directions, open issues, and challenges.
Abstract
In combination with current sociological trends, the maturing development of Internet of Things devices is projected to revolutionize healthcare. A network of body-worn sensors, each with a unique ID, can collect health data, that is, orders-of-magnitude richer than what is available today from sporadic observations in clinical/hospital environments. When databased, analyzed, and compared against information from other individuals using data analytics, Healthcare Internet of Things data enables the personalization and modernization of care with radical improvements in outcomes and reductions in cost. In this article, we survey the existing and emerging technologies that can enable this vision for the future of healthcare, particularly, in the clinical practice of healthcare. Three main technology areas underlie the development of this field: 1) sensing, where there is an increased drive for miniaturization and power efficiency; 2) communications, where the enabling factors are ubiquitous connectivity, standardized protocols, and the wide availability of cloud infrastructure; and 3) data analytics and inference, where the availability of large amounts of data and computational resources is revolutionizing algorithms for individualizing inference and actions in health management. Throughout this article, we use a case study to concretely illustrate the impact of these trends. We conclude this article with a discussion of the emerging directions, open issues, and challenges.

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Journal ArticleDOI

6G Internet of Things: A Comprehensive Survey

TL;DR: In this paper, the authors explore the emerging opportunities brought by 6G technologies in IoT networks and applications, by conducting a holistic survey on the convergence of 6G and IoT, and highlight interesting research challenges and point out potential directions to spur further research in this promising area.
Journal ArticleDOI

6G Internet of Things: A Comprehensive Survey

TL;DR: In this paper , the authors explore the emerging opportunities brought by 6G technologies in IoT networks and applications, by conducting a holistic survey on the convergence of 6G and IoT, and highlight interesting research challenges and point out potential directions to spur further research in this promising area.
Journal ArticleDOI

A systematic review of IoT in healthcare: Applications, techniques, and trends

TL;DR: This paper aims to identify, compare systematically, and classify existing investigations taxonomically in the Healthcare IoT (HIoT) systems by reviewing 146 articles between 2015 and 2020, and presents a comprehensive taxonomy in the HIoT.
Journal ArticleDOI

Federated Learning in Smart City Sensing: Challenges and Opportunities.

TL;DR: An overview of smart city sensing and its current challenges followed by the potential of Federated Learning in addressing those challenges is presented and clear insights on open issues, challenges, and opportunities are provided as guidance for the researchers studying this subject matter.
Journal ArticleDOI

Edge Intelligence and Internet of Things in Healthcare: A Survey

TL;DR: In this article, the authors present a comprehensive analysis of the use of cutting-edge artificial intelligence-based classification and prediction techniques employed for edge intelligence for health data classification with the tracking and identification of vital signs using state of the art deep learning techniques.
References
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Journal ArticleDOI

Research electronic data capture (REDCap)-A metadata-driven methodology and workflow process for providing translational research informatics support

TL;DR: Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data Capture tools to support clinical and translational research.
Journal ArticleDOI

Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): scale presentation and clinimetric testing results.

Christopher G. Goetz, +87 more
- 15 Nov 2008 - 
TL;DR: The combined clinimetric results of this study support the validity of the MDS‐UPDRS for rating PD.
Proceedings ArticleDOI

Fog computing and its role in the internet of things

TL;DR: This paper argues that the above characteristics make the Fog the appropriate platform for a number of critical Internet of Things services and applications, namely, Connected Vehicle, Smart Grid, Smart Cities, and, in general, Wireless Sensors and Actuators Networks (WSANs).
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