RecruitingNCT05579496
Rebooting Infant Pain Assessment: Using Machine Learning to Exponentially Improve Neonatal Intensive Care Unit Practice
Sponsor
York University
Enrollment
400 participants
Start Date
Nov 1, 2020
Study Type
OBSERVATIONAL
Conditions
Summary
A multi-national multidisciplinary team will be working collaboratively to build a machine learning algorithm to distinguish between preterm infant distress states in the Neonatal Intensive Care Unit.
Eligibility
Min Age: 27 WeeksMax Age: 33 Weeks
Inclusion Criteria6
- QUALITATIVE INTERVIEWS
- parents of a child currently in the NICU or
- health professionals currently working in the NICU.
- Infants born between 28 0/7 weeks 32 6/7 weeks gestational age
- Infants who are within 6 weeks postnatal age
- Infants who are undergoing a routine heel lance
Exclusion Criteria6
- Participants who cannot communicate fluently in English
- QUANTITITATIVE DATA CAPTURE (video, eeg, ecg, SPo2)
- Infants with congenital malformations
- Infants receiving analgesics or sedatives at the time of study (aside from sucrose),
- Infants with history of perinatal hypoxia/ischemia at the time of study.
- Infants with diaper rash or excoriated buttocks
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Locations(2)
View Full Details on ClinicalTrials.gov
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NCT05579496
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