Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning.

ABSTRACT: Currently, many critical care indices are not captured automatically at a granular level, rather are repetitively assessed by overburdened nurses. In this pilot study, we examined the feasibility of using pervasive sensing technology and artificial intelligence for autonomous and granular monitoring in the Intensive Care Unit (ICU). As an exemplary prevalent condition, we characterized delirious patients and their environment. We used wearable sensors, light and sound sensors, and a camera to collect data on patients and their environment. We analyzed collected data to detect and recognize patient's face, their postures, facial action units and expressions, head pose variation, extremity movements, sound pressure levels, light intensity level, and visitation frequency. We found that facial

SUBMITTER: Davoudi A 

PROVIDER: S-EPMC6541714 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature