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Intelligent Intensive Care Unit
Sponsor: University of Florida
Summary
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.
Official title: Motion Analysis of Delirium in Intensive Care Units (ICUs) Subtitle 1: "ADAPT: Autonomous Delirium Monitoring and Adaptive Prevention"
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
130
Start Date
2016-02
Completion Date
2028-05-30
Last Updated
2025-06-29
Healthy Volunteers
Yes
Interventions
Confusion Assessment Method
Confusion Assessment Method (CAM) score
Accelerometer
3 accelerometers (placed on upper arm, wrist and ankle) and 1 placed on wall as ambient light sensor
Commercially available camera
As part of facial recognition video system
Internet Pod (iPod)
Monitors noise levels in the room
Cortisol Swab
Cortisol level collected through self administered salivary swab
Locations (1)
UF Health
Gainesville, Florida, United States