Fundamental Intelligent Building Blocks of the Intensive Care Unit (ICU) of the Future: Intelligent ICU of the Future

Summary

The objective of this project is to create deep learning and machine learning models capable of recognizing patient visual cues, including facial expressions such as pain and functional activity. Many important details related to the visual assessment of patients, such as facial expressions like pain, head and extremity movements, posture, and mobility are captured sporadically by overburdened nurses or are not captured at all. Consequently, these important visual cues, although associated with critical indices, such as physical functioning, pain, and impending clinical deterioration, often cannot be incorporated into clinical status. The study team will develop a sensing system to recognize facial and body movements as patient visual cues. As part of a secondary evaluation method the study team will assess the models ability to detect delirium.

Conditions

• Pain
• Delirium

Interventions

OTHER

Video Monitoring

Patients may have video monitoring for up to seven days while in the ICU. The video system will be placed in an unobtrusive area in the patient's ICU room.

OTHER

Accelerometer Monitoring

Patients may have accelerometer monitoring for up to seven days while in the ICU. Commercially available accelerometer units, which have been validated in previous clinical studies, will be used.

OTHER

Electromyographic Monitoring

Patients may have electromyographic monitoring for up to seven days while in the ICU.

OTHER

Noise Level Monitoring

Patients may have noise level monitoring (in decibels) for up to seven days while in the ICU.

OTHER

Light Level Monitoring

Patients may have light level monitoring for up to seven days while in the ICU.

Sponsors & Collaborators

• National Institute for Biomedical Imaging and Bioengineering (NIBIB)

  collaborator NIH

• U.S. National Science Foundation

  collaborator FED

• National Institutes of Health (NIH)

  collaborator NIH

• National Institute of Neurological Disorders and Stroke (NINDS)

  collaborator NIH

• University of Florida

  lead OTHER

Principal Investigators

• Azra Bihorac, MD · University of Florida

Eligibility

Min Age

18 Years

Max Age

100 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2016-02-03

Primary Completion

2022-01-18

Completion

2028-07-31

Countries

• United States

Study Locations