Emerging Technologies for Next Generation Remote Health Care and Assisted Living

Ahmad, Ijaz and Asghar, Zeeshan and Kumar, Tanesh and Li, Gaolei and Manzoor, Ahsan and Mikhaylov, Konstantin and Shah, Syed Attique and Höyhtyä, Marko and Reponen, Jarmo and Huusko, Jyrki and Harjula, Erkki (2022) Emerging Technologies for Next Generation Remote Health Care and Assisted Living. IEEE Access, 10. pp. 56094-56132. ISSN 2169-3536

Emerging_Technologies_for_Next_Generation_Remote_Health_Care_and_Assisted_Living.pdf - Published Version
Available under License Creative Commons Attribution.

Download (6MB)


Remote health care is currently one of the most promising solutions to ensure a high level of treatment outcome, cost-efficiency and sustainability of the healthcare systems worldwide. Even though research on remote health care can be traced back to the early days of the Internet, the recent COVID-19 has necessitated further improvement in existing health care systems with invigorated research on remote health care technologies. In this article we delve into the state-of-the-art research in latest technologies and technological paradigms that play a vital role in enabling the next generation remote health care and assisted living. First the need of using the latest technological developments in the domain of remote health care is briefly discussed. Then the most important technologies and technological paradigms that are crucial in enabling remote health care and assisted living are emphasised. Henceforth, a detailed survey of existing
technologies, potential challenges in those technologies, and possible solutions is conducted. Finally, missing research gaps and important future research directions in each enabling technology are brought forth to
motivate further research in remote health care.

Item Type: Article
Identification Number: https://doi.org/10.1109/ACCESS.2022.3177278
20 May 2022Accepted
23 May 2022Published Online
Uncontrolled Keywords: Medical services, Aging, Older adults, Statistics, Sociology, Diseases, Next generation networking
Subjects: CAH00 - multidisciplinary > CAH00-00 - multidisciplinary > CAH00-00-00 - multidisciplinary
CAH11 - computing > CAH11-01 - computing > CAH11-01-02 - information technology
CAH11 - computing > CAH11-01 - computing > CAH11-01-03 - information systems
CAH11 - computing > CAH11-01 - computing > CAH11-01-05 - artificial intelligence
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Syed Shah
Date Deposited: 21 Sep 2022 14:43
Last Modified: 22 Mar 2023 12:00
URI: https://www.open-access.bcu.ac.uk/id/eprint/13580

Actions (login required)

View Item View Item


In this section...