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Smartphone colorimetry using ambient subtraction

Authors :
Miranda Nixon
Christabel Enweronu-Laryea
Judith Meek
Terence S. Leung
Nana Okai Brako
Felix Outlaw
Lindsay W. MacDonald
Source :
UbiComp/ISWC Adjunct
Publication Year :
2019
Publisher :
ACM, 2019.

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).

Details

Database :
OpenAIRE
Journal :
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
Accession number :
edsair.doi...........98d28350728b70c65eb3be59767750db
Full Text :
https://doi.org/10.1145/3341162.3343805