Authors
Laura Verde, Giuseppe De Pietro, Ahmed Ghoneim, Mubarak Alrashoud, Khaled N Al-Mutib, Giovanna Sannino
Publication date
2021/4/26
Journal
Ieee Access
Volume
9
Pages
65750-65757
Publisher
IEEE
Description
The Covid-19 pandemic represents one of the greatest global health emergencies of the last few decades with indelible consequences for all societies throughout the world. The cost in terms of human lives lost is devastating on account of the high contagiousness and mortality rate of the virus. Millions of people have been infected, frequently requiring continuous assistance and monitoring. Smart healthcare technologies and Artificial Intelligence algorithms constitute promising solutions useful not only for the monitoring of patient care but also in order to support the early diagnosis, prevention and evaluation of Covid-19 in a faster and more accurate way. On the other hand, the necessity to realise reliable and precise smart healthcare solutions, able to acquire and process voice signals by means of appropriate Internet of Things devices in real-time, requires the identification of algorithms able to discriminate …
Total citations
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