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

• Published in: Computing Vol. 105; no. 4; pp. 783 - 809
• Main Authors: Rohmetra, Honnesh, Raghunath, Navaneeth, Narang, Pratik, Chamola, Vinay, Guizani, Mohsen, Lakkaniga, Naga Rajiv
• Format: Journal Article
• Language: English
• Published: Vienna Springer Vienna 01.04.2023; Springer Nature B.V
• Subjects: 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
• DOI: 10.1007/s00607-021-00937-7

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...