TY - GEN
T1 - Smartphone colorimetry using ambient subtraction
T2 - 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2019 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2019
AU - Outlaw, Felix
AU - Nixon, Miranda
AU - Brako, Nana Okai
AU - MacDonald, Lindsay W.
AU - Meek, Judith
AU - Enweronu-Laryea, Christabel
AU - Leung, Terence S.
N1 - Publisher Copyright:
© 2019 Copyright held by the owner/author(s).
PY - 2019/9/9
Y1 - 2019/9/9
N2 - 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).
AB - 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).
KW - Colorimetry
KW - Neonatal jaundice
KW - Screening
KW - Smartphone
UR - http://www.scopus.com/inward/record.url?scp=85072882163&partnerID=8YFLogxK
U2 - 10.1145/3341162.3343805
DO - 10.1145/3341162.3343805
M3 - Conference contribution
AN - SCOPUS:85072882163
T3 - 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
SP - 172
EP - 175
BT - 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
PB - Association for Computing Machinery, Inc
Y2 - 9 September 2019 through 13 September 2019
ER -