Status:
COMPLETED
A Machine Learning Approach to Continuous Vital Sign Data Analysis
Lead Sponsor:
University of Colorado, Denver
Conditions:
Vital Signs
Eligibility:
All Genders
Up to 89 years
Brief Summary
Study hypothesis: Machine Learning algorithms and techniques previously developed for use in the robotics field can be applied to the field of medicine. These state-of-the-art, feature extraction and ...
Eligibility Criteria
Inclusion
- Age: 0 days - 89 years
- Admitted to the surgical intensive care unit (SICU) at the University of Colorado Hospital or to the pediatric intensive care unit (PICU) or children's intensive care unit (CICU) at Children's Hospital Colorado or patients in the Childrens Hospital Colorado (CHC) emergency room with the following conditions
- Hemodynamic instability
- Febrile \>38.5
- Respiratory distress
- Requiring mechanical ventilation
- Requiring central access
- Requiring vasoactive medications As well as the time that any of these patients might be in the operating rooms at Children's Hospital Colorado.
Exclusion
- Pregnant
- Incarcerated
- Limited access to or compromised monitoring sites for non-invasive finger and forehead sensors
- Brain death (GCS 3 with fixed, dilated pupils)), unless patient is actively being resuscitated (see CPR specific details in protocol and application)
Key Trial Info
Start Date :
September 1 2011
Trial Type :
OBSERVATIONAL
Allocation :
ACTUAL
End Date :
May 19 2022
Estimated Enrollment :
605 Patients enrolled
Trial Details
Trial ID
NCT01448161
Start Date
September 1 2011
End Date
May 19 2022
Last Update
September 28 2023
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