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

By Hadi Habibzadeh, K. Dinesh, Omid Rajabi Shishvan, Andrew Boggio-Dandry, Gaurav Sharma, Tolga Soyata. IEEE Internet of Things Journal, 2019

312 citations recorded by the source corpus.

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.

Subfields: Biomedical Engineering, Computer Networks and Communications, General Health Professions

View Paper: https://www.semanticscholar.org/paper/a1bbaf9f1994b6dbfd509abe05358c0051b0afd5

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In Biomedical Engineering

In Computer Networks and Communications

Citations in the corpus

6G Internet of Things: A Comprehensive Survey (2021, background): “This learning paradigm allows distributed IoT devices to collaborate with an aggregator to perform AI training while raw data sharing is not needed.”