Intelligent Intensive Care Unit

A regiszter feltételei, szó szerint

Mit akar kideríteni a vizsgálat

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.

A vizsgálat 3 csoportja

• Delirium group

  ICU patients with a positive Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod).

  Kezelés: Confusion Assessment Method, Accelerometer, Commercially available camera és Internet Pod (iPod)

• Control group

  ICU patients with a negative Confusion Assessment Method (CAM) score; observational using accelerometers, commercially available camera, and Internet Pod (iPod).

  Kezelés: Confusion Assessment Method, Accelerometer, Commercially available camera és Internet Pod (iPod)

• Healthy control group

  Healthy subjects that sleep in their home environment; observational using accelerometers, cortisol swabs, and Internet Pod (iPod)

  Kezelés: Accelerometer, Internet Pod (iPod) és Cortisol Swab