research-article

Bilicam: using mobile phones to monitor newborn jaundice

Authors:

Lilian de Greef,

Eric C. Larson,

James W. Stout,

James A. Taylor,

Shwetak N. PatelAuthors Info & Claims

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Pages 331 - 342

https://doi.org/10.1145/2632048.2632076

Published: 13 September 2014 Publication History

Abstract

Health sensing through smartphones has received considerable attention in recent years because of the devices' ubiquity and promise to lower the barrier for tracking medical conditions. In this paper, we focus on using smartphones to monitor newborn jaundice, which manifests as a yellow discoloration of the skin. Although a degree of jaundice is common in healthy newborns, early detection of extreme jaundice is essential to prevent permanent brain damage or death. Current detection techniques, however, require clinical tests with blood samples or other specialized equipment. Consequently, newborns often depend on visual assessments of their skin color at home, which is known to be unreliable. To this end, we present BiliCam, a low-cost system that uses smartphone cameras to assess newborn jaundice. We evaluated BiliCam on 100 newborns, yielding a 0.85 rank order correlation with the gold standard blood test. We also discuss usability challenges and design solutions to make the system practical.

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Bhagat PRaghuwanshi MBagde A(2024)Comparative Analysis of Classification of Neonatal Bilirubin by Using Various Machine Learning ApproachesCureus10.7759/cureus.62019Online publication date: 9-Jun-2024
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Spence ABangay S(2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
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Index Terms

Bilicam: using mobile phones to monitor newborn jaundice
1. Human-centered computing

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cover image ACM Conferences

UbiComp '14: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

September 2014

973 pages

ISBN:9781450329682

DOI:10.1145/2632048

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Copyright © 2014 ACM.

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Published: 13 September 2014

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Spence ABangay S(2024)Domain-Agnostic Representation of Side-ChannelsEntropy10.3390/e2608068426:8(684)Online publication date: 13-Aug-2024
https://doi.org/10.3390/e26080684
Kouaho WEpstein D(2024)Investigating Perspectives of and Experiences with Low Cost Commercial Fitness WearablesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36997408:4(1-22)Online publication date: 21-Nov-2024
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Okolo CAgarwal DDell NVashistha A(2024)"If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural IndiaProceedings of the ACM on Human-Computer Interaction10.1145/36373488:CSCW1(1-28)Online publication date: 26-Apr-2024
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Adhikary RSadeh MBatra NGoel M(2024)JoulesEyeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314227:4(1-29)Online publication date: 12-Jan-2024
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Yuan YHuang JYu JTan JChng KLee JKim S(2024)Application of machine learning algorithms for accurate determination of bilirubin level on in vitro engineered tissue phantom imagesScientific Reports10.1038/s41598-024-56319-414:1Online publication date: 12-Mar-2024
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Karim RZaman MYong W(2023)A Non-invasive Methods for Neonatal Jaundice Detection and Monitoring to Assess Bilirubin Level: A ReviewAnnals of Emerging Technologies in Computing10.33166/AETiC.2023.01.0027:1(15-29)Online publication date: 1-Jan-2023
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Wemyss TNixon-Hill MOutlaw FKarsa AMeek JEnweronu-Laryea CLeung T(2023)Feasibility of smartphone colorimetry of the face as an anaemia screening tool for infants and young children in GhanaPLOS ONE10.1371/journal.pone.028173618:3(e0281736)Online publication date: 3-Mar-2023
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