Artificial Intelligence, Sensors and Vital Health Signs: A Review

• Main Authors: Junaid, S.B., Imam, A.A., Shuaibu, A.N., Basri, S., Kumar, G., Surakat, Y.A., Balogun, A.O., Abdulkarim, M., Garba, A., Sahalu, Y., Mohammed, A., Mohammed, Y.T., Abdulkadir, B.A., Abba, A.A., Kakumi, N.A.I., Alazzawi, A.K.
• Format: Article
• Published: 2022
• Online Access: http://scholars.utp.edu.my/id/eprint/34005/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142543942&doi=10.3390%2fapp122211475&partnerID=40&md5=0dc355facd8979113b6ed7a7904f41dc

Large amounts of patient vital/physiological signs data are usually acquired in hospitals manually via centralized smart devices. The vital signs data are occasionally stored in spreadsheets and may not be part of the clinical cloud record; thus, it is very challenging for doctors to integrate and a...