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.
Age range
18 Years
Sex
ALL
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A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.
CAM/CAM-ICU
Timeframe: Changes from Baseline up to 7 Days
Memorial Delirium Assessment Scale (MDAS) will be used for changes from baseline up to 7 days between the groups.
Timeframe: Changes from Baseline up to 7 Days
Delirium Motor Subtyping Scale (DMSS-4) will be used for changes from baseline up to 7 days between the groups.
Timeframe: Changes from Baseline up to 7 Days
Freedman Sleep Scale
Timeframe: Changes from Baseline up to 7 Days