Medical equipment data
Health topic Child mortality
Health classification Diagnosis


Project data
Location Quebec, Canada
Made? No
Replicated? No
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Problem being addressed[edit | edit source]

Newborn cries can be influenced by the physiological and neurological state of the child. Information about the source of the newborn’s discomfort, which could be benign or indicative of a serious health problem, can be collected from the newborn’s cries. Diseases, infections, or deformities can change an infant’s cry by affecting the central nervous system, respiratory organs, or oral cavities. It has been shown that infants with particular diseases produce cries with certain consistent attributes (Alaie, 2012). Identifying health issues in infants in low-resource settings is difficult due to a lack of diagnostic equipment. It is also especially important because the infant is less likely to have regular access to medical care and screenings during childhood, so health problems are likely to go untreated for long periods of time.

Detailed description of the solution[edit | edit source]

The non-invasive cry diagnosis system will use computer acoustical analysis of newborn cries to detect serious medical conditions. The cries of 120 healthy and sick newborns were analyzed to identify diagnostically relevant acoustic characteristics. The next step of the development of the cry diagnosis system is to analyze a larger pool of infants in order to expand the scope of this device and the conditions it can detect. The device will also incorporate a software-based diagnostic tool that can interpret recorded cries to help neonatologists detect specific pathologies affecting newborns. This device will be especially useful in low-resource settings because it will allow healthcare workers to identify the detect health problems in newborns noninvasively immediately after birth so that treatment can be given or further investigation can be done, if necessary.

Designed by[edit | edit source]

  • Designed by: Chakib Tadj, Professor, Department of Electrical Engineering, Ecole de Technologie Superieure, Montreal, Quebec, CA
  • Manufacturer (if different):
  • Manufacturer location:

When and where it was tested/implemented[edit | edit source]

Funding Source[edit | edit source]

Recipient of a Grand Challenges in Global Health grant.

References[edit | edit source]

Peer-reviewed publication[edit | edit source]

Kheddache, Y. and Tadj, C. (2013) Acoustic measures of the cry characteristics of healthy newborns and newborns with pathologies. Journal of Biomedical Science and Engineering, 6, 796-804. doi: 10.4236/jbise.2013.68097.

Hesam Farsaie Alaie and Chakib Tadj. Cry-Based Classification of Healthy and Sick Infants Using Adapted Boosting Mixture Learning Method for Gaussian Mixture Models. Modelling and Simulation in Engineering. 2012. doi:10.1155/2012/983147

Other internally generated reports[edit | edit source]

Externally generated reports[edit | edit source]

"A Newborn Cry-Based Diagnosis System." Grand Challenges Explorations Grants. Grand Challenges in Global Health, n.d. Retrieved December 6, 2013 from here.

IP and copyright[edit | edit source]

Approval by regulatory bodies or standards boards[edit | edit source]

Page data
Part of Global Health Medical Device Compendium
Type Medical equipment, Project
SDG Sustainable Development Goals SDG03 Good health and well-being, SDG09 Industry innovation and infrastructure
Authors Caroline Soyars
Published 2013
License CC-BY-SA-3.0
Language English (en)
Impact Number of views to this page. Updated once a month. Views by admins and bots are not counted. Multiple views during the same session are counted as one. 86
Issues Automatically detected page issues. Click on them to find out more. They may take some minutes to disappear after you fix them. No lead section, No main image