Version 1
: Received: 31 August 2023 / Approved: 4 September 2023 / Online: 5 September 2023 (04:35:35 CEST)
How to cite:
Arefin, M.; Rahman, M.M.; Hasan, M.; Ahmed, R.; Mahmud, M. A Topical Review on Enabling Technologies for Internet of Medical Things: Sensors, Devices, Platforms and Applications. Preprints2023, 2023090189. https://doi.org/10.20944/preprints202309.0189.v1
Arefin, M.; Rahman, M.M.; Hasan, M.; Ahmed, R.; Mahmud, M. A Topical Review on Enabling Technologies for Internet of Medical Things: Sensors, Devices, Platforms and Applications. Preprints 2023, 2023090189. https://doi.org/10.20944/preprints202309.0189.v1
Arefin, M.; Rahman, M.M.; Hasan, M.; Ahmed, R.; Mahmud, M. A Topical Review on Enabling Technologies for Internet of Medical Things: Sensors, Devices, Platforms and Applications. Preprints2023, 2023090189. https://doi.org/10.20944/preprints202309.0189.v1
APA Style
Arefin, M., Rahman, M.M., Hasan, M., Ahmed, R., & Mahmud, M. (2023). A Topical Review on Enabling Technologies for Internet of Medical Things: Sensors, Devices, Platforms and Applications. Preprints. https://doi.org/10.20944/preprints202309.0189.v1
Chicago/Turabian Style
Arefin, M., Risla Ahmed and Mufti Mahmud. 2023 "A Topical Review on Enabling Technologies for Internet of Medical Things: Sensors, Devices, Platforms and Applications" Preprints. https://doi.org/10.20944/preprints202309.0189.v1
Abstract
The Internet of Things (IoT) is still a relatively new field of research, and its potential for use in the healthcare and medical sectors is enormous. In the last five years, IoT has been a go-to option for various applications such as using sensors for different features, machine-to-machine communication, etc., but precisely, in the medical sector, it is still lagging far behind compared to other sectors. Hence, this study emphasizes the IoT applications in medical fields, Medical IoT sensors and devices, IoT platforms for data visualization, and artificial intelligence in medical applica-tions. A systematic review considering PRISMA guidelines on research articles as well as the websites on IoMT sensors and devices have been carried out. A total of 986 articles after the year 2001 have been initially selected, and by applying the inclusion-exclusion criterion, a total of 597 articles have been identified. From these, 23 studies have been finally selected for this systematic review. This review analyzes different sensor monitoring circuits in detail, considering an Inten-sive Care Unit (ICU) scenario, device applications, and the data management system, including IoT platforms for the patients. Lastly, detailed discussion and challenges have been outlined, and possible prospects have been presented.
Keywords
IoMT; MIoT sensors; IoT platform; AI; data management; COVID-19
Subject
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
