Emerging technologies for next generation remote health care and assisted living
|Author:||Ahmad, Ijaz1; Asghar, Zeeshan2; Kumar, Tanesh3;|
1VTT Technical Research Centre of Finland, 02044 Espoo, Finland
2Navigil, 02610 Espoo, Finland
3Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland
4Institute of Cyber Security, Shanghai Jiao Tong University, Shanghai 200240, China
5School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, U.K.
6Research Unit of Medical Imaging, Physics and Technology and Medical Research Centre Oulu, Oulu University Hospital, 90220 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2022071451688
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2022-07-14
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.
|Pages:||56094 - 56132|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
217 Medical engineering
This work was supported by the Academy of Finland through the DigiHealth Project under Grant 326291 and through the 6G Flagship Project under Grant 318927 and Grant 346208.
|Academy of Finland Grant Number:||
318927 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
© The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.