Samenvatting
Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical manifestations including death. A pandemic at the large-scale like COVID-19 places extraordinary demands on the world's health systems, dramatically devastates vulnerable populations, and critically threatens the global communities in an unprecedented way. While tremendous efforts at the frontline are placed on detecting the virus, providing treatments and developing vaccines, it is also critically important to examine the technologies and systems for tackling disease emergence, arresting its spread and especially the strategy for diseases prevention. The objective of this article is to review enabling technologies and systems with various application scenarios for handling the COVID-19 crisis. The article will focus specifically on 1) wearable devices suitable for monitoring the populations at risk and those in quarantine, both for evaluating the health status of caregivers and management personnel, and for facilitating triage processes for admission to hospitals; 2) unobtrusive sensing systems for detecting the disease and for monitoring patients with relatively mild symptoms whose clinical situation could suddenly worsen in improvised hospitals; and 3) telehealth technologies for the remote monitoring and diagnosis of COVID-19 and related diseases. Finally, further challenges and opportunities for future directions of development are highlighted.
| Originele taal-2 | Engels |
|---|---|
| Artikelnummer | 9090987 |
| Pagina's (van-tot) | 48-70 |
| Aantal pagina's | 23 |
| Tijdschrift | IEEE Reviews in Biomedical Engineering |
| Volume | 14 |
| Vroegere onlinedatum | mei 2020 |
| DOI's | |
| Status | Gepubliceerd - 2021 |
Financiering
Manuscript received April 26, 2020; revised May 1, 2020; accepted May 3, 2020. Date of publication May 11, 2020; date of current version January 22, 2021. This work was supported in part by the Hong Kong ITC Research Fund and the Start-Up Grant by the City University of Hong Kong, Key R&D Program of China under Grant 2017YFE0112000. The work of Z. Xue was partially supported by the Hubei Science and Technology Department COVID-19 Emergency Grant. (Corresponding
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