Validation of Active-Insights Device to Measure Crying Time
- Conditions
- Infant Behavior
- Interventions
- Device: ActiveInsights accelerometer device
- Registration Number
- NCT05165589
- Lead Sponsor
- BioGaia AB
- Brief Summary
To assess the ability of a machine learning algorithm to accurately detect fussing and crying time in infants using accelerometery data collected from a wearable device, compared to the Barr's parent-/caregiver-completed behaviour diary.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 13
- Aged between 4-12 weeks at screening.
- Gestational age 37 weeks - 41 weeks at birth.
- Birth weight appropriate for gestational age (AGA - weight between 10th and 90th percentile) or Large for Gestational Age (LGA - weight above the 90th percentile) determined using WHO Weight-for Age percentile guides.
- Infant has excessive crying, defined as 3 or more hours per day, during 3 or more days in the preceding week.
- No birth trauma and nonsyndromic.
- Readiness and the opportunity for parents/caregivers to fill out a study diary, questionnaires and for infant to wear device.
- Parent/caregiver with ability to understand and comply with the requirements of the study, as judged by the Investigator.
- Parent/caregiver willing and able to give informed consent for their and their infant's participation in the study.
- Infant is considered healthy, following physical exam.
- Infants with failure to thrive, intrauterine growth retardation, haematochezia (blood in the stools), diarrhoea (watery stools that takes the shape of a container > 12x in breastfed and >5 in partially breastfed infants daily), or fever (38.0 degrees).
- Premature infants (<35 weeks gestation at birth).
- Infants with congenital heart disease, immunodeficiency, asplenia, cancer, cystic fibrosis, formula-fed infants, and those with liver disease.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description Part 1: Initial data collection for device feasibility ActiveInsights accelerometer device 3 subjects for 4 days included to collect initial data for algoritm development for device feasibility Part 2: Device feasibility ActiveInsights accelerometer device 10 subjects for 7 days included to evaluate device feasibility
- Primary Outcome Measures
Name Time Method Device feasibility: Comparison of device-generated versus diary-reported crying and fussing time data 7 days Part 2: Comparison of daily crying and fussing time data generated by accelerometer and machine-learning versus crying and fussing time data reported by parental Barrs diary
- Secondary Outcome Measures
Name Time Method Device feasibility: Comparison of device-generated versus diary-reported fussing time data 7 days Part 2: Comparison of daily fussing time data generated by accelerometer and machine-learning versus fussing time data reported by parental Barrs diary
Device feasibility: Comparison of device-generated versus diary-reported sleeping time data 7 days Part 2: Comparison of daily sleeping time data generated by accelerometer and machine-learning versus sleeping time data reported by parental Barrs diary
Device feasibility: Comparison of device-generated versus diary-reported crying time data 7 days Part 2: Comparison of daily crying time data generated by accelerometer and machine-learning versus crying time data reported by parental Barrs diary
Trial Locations
- Locations (1)
Atlantia Clinical Trials
🇮🇪Cork, Ireland