Intelligent Intensive Care Unit

Running, not enrolling

Conditions studied: Delirium, Confusion

In brief

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.

Key facts

Study ID
NCT02465307
Run by
University of Florida
People needed
130
Starts
2016-02-01
Expected to finish
2028-05-30
Last updated by the study team
2026-07-21

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

Where it is running

Full record on ClinicalTrials.gov

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