AI-enabled remote monitoring of vital signs for COVID-19: methods, prospects and challenges

The COVID-19 pandemic has overwhelmed the existing healthcare infrastructure in many parts of the world. Healthcare professionals are not only over-burdened but also at a high risk of nosocomial transmission from COVID-19 patients. Screening and monitoring the health of a large number of susceptible...

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Veröffentlicht in:	Computing Jg. 105; H. 4; S. 783 - 809
Hauptverfasser:	Rohmetra, Honnesh, Raghunath, Navaneeth, Narang, Pratik, Chamola, Vinay, Guizani, Mohsen, Lakkaniga, Naga Rajiv
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Vienna Springer Vienna 01.04.2023 Springer Nature B.V
Schlagworte:	Artificial Intelligence Blood pressure Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Coronaviruses COVID-19 Deep learning Disease transmission Health care Imaging techniques Information Systems Applications (incl.Internet) Machine learning Oxygen content Personal computers Quarantine Remote monitoring Respiratory rate Risk Software Engineering Special Issue Special Issue Article Telemedicine Vital signs COVID-19 Deep learning 68T45 Coronavirus Artificial intelligence
ISSN:	0010-485X, 1436-5057
Online-Zugang:	Volltext
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