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arXiv · 1711.06405

Ubenwa: Cry-based Diagnosis of Birth Asphyxia

Charles C Onu·Innocent Udeogu·Eyenimi Ndiomu·Urbain Kengni·Doina Precup·Guilherme M Sant'anna·Edward Alikor·Peace Opara
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Abstract

Every year, 3 million newborns die within the first month of life. Birth asphyxia and other breathing-related conditions are a leading cause of mortality during the neonatal phase. Current diagnostic methods are too sophisticated in terms of equipment, required expertise, and general logistics. Consequently, early detection of asphyxia in newborns is very difficult in many parts of the world, especially in resource-poor settings. We are developing a machine learning system, dubbed Ubenwa, which enables diagnosis of asphyxia through automated analysis of the infant cry. Deployed via smartphone and wearable technology, Ubenwa will drastically reduce the time, cost and skill required to make accurate and potentially life-saving diagnoses.

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Charles C Onu, Innocent Udeogu, Eyenimi Ndiomu, Urbain Kengni, Doina Precup, Guilherme M Sant'anna, Edward Alikor, Peace Opara. 2017-11-17. Ubenwa: Cry-based Diagnosis of Birth Asphyxia. https://arxiv.org/abs/1711.06405

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