S.A. Hamddi*, M.B.Omer & M.A. Ahmed

Abstract

A patient in a state of coma requires close observation and interest. however, hospitals now experience a serious shortage of intensive care and emergency nurses. ICU patients must be constantly observed by proactive observers as part of the standard monitoring protocol. One drawback of previous approaches is that one observer can only monitor one patient at a time and must be available around the clock. The goal of this study is to create a system that fixes the problems that traditional approaches have. The suggested method uses deep learning to monitor patients in the critical care unit and send reports to the nurse or doctor. The suggestion system can instantly recognize the intended target (patient), identify any patient actions, and alert the nurse or doctor.