Intelligent Intensive Care Unit
common.study.values.description
“Intelligent Intensive Care Unit”
Delirium, as a common complication of hospitalization, poses significant health problems in hospitalized patients. Though about a third of delirium cases can benefit from intervention, detecting and predicting delirium is still very limited in practice. A common characterization of delirium is change in activity level, causing patients to become hyperactive or hypoactive which is manifested in facial expressions and total body movements. This pilot study is designed to test the feasibility of a delirium detection system using movement data obtained from 3-axis wearable accelerometers and commercially available camera with facial recognition video system in conjunction with electronics medical record (EMR) data to analyze the relation of whole-body movement and facial expressions with delirium.
common.study.values.location
participant.ui.study.affiliations-map.online-study.header-virtual
participant.ui.study.affiliations-map.online-study.text
common.study.values.methods
common.study.methods.has-drugs-no
common.study.methods.is-healthy-no
Behavioral - Confusion Assessment Method
Confusion Assessment Method (CAM) score
Device - Accelerometer
3 accelerometers (placed on upper arm, wrist and ankle) and 1 placed on wall as ambient light sensor
Device - Commercially available camera
As part of facial recognition video system
Device - Internet Pod (iPod)
Monitors noise levels in the room
Diagnostic Test - Cortisol Swab
Cortisol level collected through self administered salivary swab
participant.views.study.view.additional
participant.views.study.view.scientific-title
Motion Analysis of Delirium in Intensive Care Units (ICUs)
common.study.values.clinical-trial-id
NCT02465307
participant.views.study.view.id
DdwRgb
