Several conditions that affect the central nervous system of newborns are reflected in their cry. We are analysing and identifying acoustic biomarkers in the infant cry that could aid in diagnosis.
Predicting long-term disability in newborns that have suffered severe, hypoxic events at birth is important for long-term support and survival. We are correlating the cry sound at discharge with developmental indices at 18-24 months.
Could we help new parents better understand their babies? Through automated cry analysis we can extract indicators of basic needs (pain, hunger, sleep), and translate this to parents to facilitate optimal care.
Perinatal asphyxia is one of the top 3 causes of infant mortality in the world, causing the death of about 1.2 million infants and severe life-long disabilities (such as cerebral palsy, deafness, and paralysis) to an equal number annually.
"If newborns who have asphyxia can be detected early enough, we may be able to save their lives" - UN.
The Ubenwa mobile app is a screening tool that takes as input the infant cry sound, then analyses its amplitude and frequency patterns to estimate the risk of perinatal asphyxia. We achieve this by comparing the cry acoustic parameters to our database of clinically-labelled infant cries using machine learning.
6666 St Urbain St #200,
Montreal, QC H2S 3H1
Maryland Mall
350/360 Ikorodu Road
Lagos