Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021)

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Estimation of Neonatal Jaundice from the Chest Images Captured with a Smartphone

Authors
Mekar Dwi Anggraeni1, *, Amin Fatoni2, Eni Rahmawati1, Ismei Nartiningsih3
1Department of Nursing, Faculty of Health Sciences, Universitas Jenderal Soedirman, Jl dr Soeparno 61, Purwokerto, Indonesia
2Department of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Jenderal Soedirman, Jl dr Soeparno, Purwokerto, Indonesia
3DR Goeteng Taroenadibrata Hospital, Purbalingga, Indonesia
*Corresponding author: mekar.anggraeni@unsoed.ac.id
Corresponding Author
Mekar Dwi Anggraeni
Available Online 25 May 2022.
DOI
10.2991/apr.k.220503.005How to use a DOI?
Keywords
Hyperbilirubin; Neonatal jaundice; Self-care; Smartphone
Abstract

Hyperbilirubinemia is a common problem in neonatal for contact with the healthcare facilities. Several methods have been used to determine the bilirubin concentration. However, it is not easy to find the healthcare with the instrument to detect bilirubin, mainly in rural area. This research was aimed to develop a simple method for neonatal hyperbilirubinemia based on the chest images captured using a smartphone. A total of 31 randomly selected neonatal were studied, with the parental inform consent. The chest images have been capture using smartphone camera with the standard color chart besides the neonatal. The captured images were then analyzed by extracting the color intensity using ImageJ software. The bilirubin concentration obtained using standard method from the hospital were then analyzed to show the association of the chest color intensity with the bilirubin concentration. The result showed a high correlation between the blue color intensity and the blood bilirubin with the regression line of y = −0.466x + 162.84 (R2 = 0.851). The result of this study indicated the smartphone camera images of neonatal chest could be used for a simple screening tool of neonatal hyperbilirubinemia. Further study could be performed for smartphone software development of the bilirubin prediction from the neonatal chest images.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

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Volume Title
Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021)
Series
Advances in Physics Research
Publication Date
25 May 2022
ISBN
978-94-6239-579-4
ISSN
2352-541X
DOI
10.2991/apr.k.220503.005How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license.

Cite this article

risenwbib
TY  - CONF
AU  - Mekar Dwi Anggraeni
AU  - Amin Fatoni
AU  - Eni Rahmawati
AU  - Ismei Nartiningsih
PY  - 2022
DA  - 2022/05/25
TI  - Estimation of Neonatal Jaundice from the Chest Images Captured with a Smartphone
BT  - Proceedings of the Soedirman International Conference on Mathematics and Applied Sciences (SICOMAS 2021)
PB  - Atlantis Press
SP  - 23
EP  - 26
SN  - 2352-541X
UR  - https://doi.org/10.2991/apr.k.220503.005
DO  - 10.2991/apr.k.220503.005
ID  - Anggraeni2022
ER  -