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BiliCam: using mobile phones to monitor newborn jaundice

Published: 13 September 2014 Publication History

Abstract

Health sensing through smartphones has received considerable attention in recent years because of its promise to lower costs and provide more continuous data for tracking medical conditions. In this poster, we focus on using smartphones to sense newborn jaundice, which manifests as a yellow discoloration of the skin. Although jaundice is common in healthy newborns, early detection of extreme jaundice is essential to prevent 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. We present BiliCam, a low-cost system that uses smartphone cameras to assess newborn jaundice.

References

[1]
Bhutani, V. K., Stark, A. R., Lazzeroni, L. C., et al. Predischarge Screening for Severe Neonatal Hyperbilirubinemia Identifies Infants Who Need Phototherapy. The Journal of Pediatrics 162, 3 (2013), 477--482.e1
[2]
National Collaborating Centre for Women's and Children's Health and National Institute for Health and Clinical Excellence. Neonatal Jaundice Clinical Guideline. London, 2010.
[3]
de Greef, L., Goel, M. Seo, M. J., Larson, E. C., Stout, J., Taylor, J. A., Patel, S. N. BiliCam: Using Mobile Phones to Monitor Newborn Jaundice. Proc. Ubicomp 2014

Cited By

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  • (2023)Assessment of bilirubin levels in patients with cirrhosis via forehead, sclera and lower eyelid smartphone imagesPLOS Digital Health10.1371/journal.pdig.00003572:10(e0000357)Online publication date: 6-Oct-2023
  • (2023)Jaundice Recognition in Newborn Face, Chest and Abdomen using Spatial and Spectral Domain Graph Neural Network2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)10.1109/InCACCT57535.2023.10141723(171-175)Online publication date: 5-May-2023
  • (2021)Non-invasive Technique for Detecting Neonatal JaundiceProceedings of the International e-Conference on Intelligent Systems and Signal Processing10.1007/978-981-16-2123-9_46(593-604)Online publication date: 14-Aug-2021
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    cover image ACM Conferences
    UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
    September 2014
    1409 pages
    ISBN:9781450330473
    DOI:10.1145/2638728
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 13 September 2014

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    Author Tags

    1. bilirubin
    2. health sensing
    3. image processing
    4. mobile phones
    5. neonatal jaundice

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    UbiComp '14
    UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing
    September 13 - 17, 2014
    Washington, Seattle

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2023)Assessment of bilirubin levels in patients with cirrhosis via forehead, sclera and lower eyelid smartphone imagesPLOS Digital Health10.1371/journal.pdig.00003572:10(e0000357)Online publication date: 6-Oct-2023
    • (2023)Jaundice Recognition in Newborn Face, Chest and Abdomen using Spatial and Spectral Domain Graph Neural Network2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)10.1109/InCACCT57535.2023.10141723(171-175)Online publication date: 5-May-2023
    • (2021)Non-invasive Technique for Detecting Neonatal JaundiceProceedings of the International e-Conference on Intelligent Systems and Signal Processing10.1007/978-981-16-2123-9_46(593-604)Online publication date: 14-Aug-2021
    • (2021)ARM: A Real-Time Health Monitoring Mobile ApplicationComputer Science and Engineering in Health Services10.1007/978-3-030-87495-7_4(45-59)Online publication date: 29-Sep-2021
    • (2020)Accurate device-independent colorimetric measurements using smartphonesPLOS ONE10.1371/journal.pone.023056115:3(e0230561)Online publication date: 26-Mar-2020
    • (2020)MAMAS: Supporting Parent--Child Mealtime Interactions Using Automated Tracking and Speech RecognitionProceedings of the ACM on Human-Computer Interaction10.1145/33928764:CSCW1(1-32)Online publication date: 29-May-2020
    • (2019)Towards a tricorder for diagnosing paediatric conditionsThe Lancet10.1016/S0140-6736(19)32087-2394:10202(907)Online publication date: Sep-2019
    • (2018)ProFUSOJournal of Biomedical Informatics10.1016/j.jbi.2018.04.00182:C(106-127)Online publication date: 1-Jun-2018
    • (2017)Human Context Sensing in Smart CitiesSmart Cities10.1002/9781119226444.ch11(311-341)Online publication date: 30-Jun-2017
    • (2016)Neonatal Jaundice Detection SystemJournal of Medical Systems10.1007/s10916-016-0523-440:7(1-11)Online publication date: 1-Jul-2016

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