A Bibliometrics Analysis of Medical Internet of Things for Modern Healthcare

Author:

Nguyen Hoang-Sy1ORCID,Danh Huynh-Cong2,Ma Quoc-Phu3ORCID,Mesicek Jakub3ORCID,Hajnys Jiri3ORCID,Pagac Marek3ORCID,Petru Jana3ORCID

Affiliation:

1. Becamex Business School, Eastern International University, Thu Dau Mot City 75100, Binh Duong Province, Vietnam

2. Faculty of Economics, Thu Dau Mot University, Thu Dau Mot City 75100, Binh Duong Province, Vietnam

3. Department of Machining, Assembly and Engineering Metrology, Faculty of Mechanical Engineering, VSB-Technical University of Ostrava, 70833 Ostrava, Czech Republic

Abstract

The integration of the Internet of Things (IoT) in healthcare has been a popular topic in recent years. This article provides a comprehensive review of the medical IoT for healthcare, emphasizing the state of the art, the enabling technologies to adopt virtuality and reality interaction, and human-centered communication for healthcare (the Metaverse, Extended Reality (XR), blockchain, Artificial Intelligence (AI), robotics). In particular, we assess the number of scientific articles and patents within the period 2015–2022. We then use the two-stage process following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and screening techniques. From that, the relations among the published papers can be visualized. This study examines the insights by evaluating the weights and connections of the nodes in the bibliometric networks. The reviewed papers showcase the rapid growth of IoT-related studies and intellectual property developments, reflecting the burgeoning interest and investment in this domain. As this paper delves into the network of interconnections between these works, it fosters a deeper understanding of the current state of IoT applications in healthcare and uncovers potential research gaps and areas for future exploration. This paper also provides a brief view of the role of IoT in healthcare research and application in combination with emerging technologies such as AI, blockchain, the IoT-enabled Metaverse, robotics, and cloud computing. The article can serve as a guideline and inspiration for both researchers and practitioners in the smart health service sector.

Funder

Ministry of Education, Youth and Sports

European Union

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference59 articles.

1. Internet of Things: A systematic review of the business literature from the user and organisational perspectives;Lu;Technol. Forecast. Soc. Chang.,2018

2. Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions;Nweke;Inf. Fusion,2019

3. Bhatt, C., Dey, N., and Ashour, A.S. (2017). Internet of Things and Big Data Technologies for Next Generation Healthcare, Springer.

4. Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare;Farahani;Future Gener. Comput. Syst.,2018

5. Holler, J., Tsiatsis, V., Mulligan, C., Avesand, S., Karnouskos, S., and Boyle, D. (2014). From Machine-to-Machine to the Internet of Things: Introduction to a New Age of Intelligence, Academic Press Inc.

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