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Clinical Trial 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.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05165589
Study type Interventional
Source BioGaia AB
Contact Gianfranco Grompone, PhD
Phone +46700019394
Email gg@biogaia.se
Status Recruiting
Phase N/A
Start date October 15, 2021
Completion date April 2022

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