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Patients staying in the Intensive Care Unit (ICU) have a severely disrupted circadian rhythm. Due to patients' critical medical condition, ICU physicians and nurses have to provide round-the-clock clinical care, further disrupting patients' circadian rhythm. Mistimed family visits during rest-time can also disrupt patients' circadian rhythm. Currently, such effects are only reported based on hospital visitation policies rather than the actual number of visitors and care providers in the room. To quantify visitation disruptions, we used a deep Mask R-CNN model, a deep learning framework for object instance segmentation to detect and quantify the number of individuals in the ICU unit. This study represents the first effort to automatically quantify visitations in an ICU room, which could have implications in terms of policy adjustment, as well as circadian rhythm investigation. Our model achieved precision of 0.97 and recall of 0.67, with F1 score of 0.79 for detecting disruptions in the ICU units.
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Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients
The purpose of the DREAMS project (DREAMS = Digital Rehabilitation Environment-Augmenting Medical System) is to research the feasibility and clinical potential of a virtual reality (VR) system for reducing the occurrence of delirium among patients in the intensive care unit (ICU). Preliminary results of this ongoing study show VR produces minimal clinical effects but are strongly enjoyed by patients and easy to administer. We discuss important lessons learned from applying VR in the ICU.
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- Award ID(s):
- 1750192
- PAR ID:
- 10141582
- Date Published:
- Journal Name:
- Developing a Patient-Centered Virtual Reality Healthcare System To Prevent the Onset of Delirium in ICU Patients
- Page Range / eLocation ID:
- 1 to 7
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/SeGAH.2019.8882442
