Smartphone Colorimetry Using Ambient Subtraction: Application to Neonatal Jaundice Screening in Ghana

dc.contributor.authorEnweronu-Laryea, C.
dc.contributor.authorOutlaw, F.
dc.contributor.authorMacDonald, L.W.
dc.contributor.authorNixon, M.
dc.contributor.authorMeek, J.
dc.contributor.authorLeung, T.S.
dc.contributor.authorBrako, N.O.
dc.date.accessioned2019-11-29T09:36:29Z
dc.date.available2019-11-29T09:36:29Z
dc.date.issued2019-09
dc.descriptionResearch Articleen_US
dc.description.abstractA smartphone app to screen for neonatal jaundice has a large potential impact in reducing neonatal death and disability. Our app, neoSCB, uses a colour measurement of the sclera to make a screening decision. Although there are numerous benefits of a smartphone-based approach, smartphone colour measurement that is accurate and repeatable is a challenge. Using data from a clinical setting in Ghana, we compare sclera colour measurement using an ambient subtraction method to sclera colour measurement using a standard colour card method, and find they are comparable provided the subtracted signal-to-noise ratio (SSNR) is sufficient. Calculating a screening decision metric via the colour card method gave 100% sensitivity and 69% specificity (n=87), while applying the ambient subtraction method gave 100% sensitivity and 78% specificity (SSNR>3.5; n=50).en_US
dc.description.sponsorshipEPSRC-funded UCL Centre for Doctoral Training in Medical Imaging (EP/L016478/1) and the Department of Health’s NIHR-funded Biomedical Research Centre at University College London Hospitals. It is made possible through the generous support of the Saving Lives at Birth partners: the United States Agency for International Development (USAID), the Government of Norway, the Bill & Melinda Gates Foundation, Grand Challenges Canada, the UK Government, and the Korea International Cooperation Agency (KOICA).en_US
dc.identifier.otherhttps://doi.org/10.1145/3341162.3343805
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/33916
dc.language.isoenen_US
dc.publisherUCL Discoveryen_US
dc.relation.ispartofseries;2019
dc.subjectcolorimetryen_US
dc.subjectneonatal jaundiceen_US
dc.subjectscreeningen_US
dc.subjectsmartphoneen_US
dc.titleSmartphone Colorimetry Using Ambient Subtraction: Application to Neonatal Jaundice Screening in Ghanaen_US
dc.typeArticleen_US

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