Smartphone colorimetry using ambient subtraction: Application to neonatal jaundice screening in Ghana

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Abstract

A 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).

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Outlaw, F., Nixon, M., Brako, N. O., MacDonald, L. W., Meek, J., Enweronu-Laryea, C., & Leung, T. S. (2019). Smartphone colorimetry using ambient subtraction: Application to neonatal jaundice screening in Ghana. In UbiComp/ISWC 2019- - Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (pp. 172–175). Association for Computing Machinery, Inc. https://doi.org/10.1145/3341162.3343805

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