Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Bilibin: An Intelligent Mobile Phone-Based Platform to Monitor Newborn Jaundice Publisher



Zarepour E1 ; Mohammadi MR1 ; Zakerinasrabadi M1 ; Aein S1 ; Sangsari R2 ; Taheri L3 ; Akbari M2 ; Zabihallahpour A1
Authors
Show Affiliations
Authors Affiliations
  1. 1. School of Computer Engineering, Iran University of Science and Technology (IUST), Tehran, Iran
  2. 2. Children Medical Center, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Department of Pediatric Nursing, Faculty of nursing and midwifery, Qom university of medical sciences, Qom, Iran

Source: Iranian Journal of Electrical and Electronic Engineering Published:2024


Abstract

Using mobile phones for medical applications are proliferating due to high-quality embedded sensors. Jaundice, a yellow discoloration of the skin caused by excess bilirubin, is a prevalent physiological problem in newborns. While moderate amounts of bilirubin are safe in healthy newborns, extreme levels are fatal and cause devastating and irreversible brain damage. Accurate tests to measure jaundice require a blood draw or dedicated clinical devices facing difficulty where clinical technology is unavailable. This paper presents a smartphone-based screening tool to detect neonatal hyperbilirubinemia caused by the high bilirubin production rate. A machine learning regression model is trained on a pretty large dataset of images, including 446 samples, taken from newborns' sternum skin in four medical centers in Iran. The learned model is then used to estimate the level of bilirubin. Experimental results show a mean absolute error of 1.807 mg/dl and a correlation of 0.701 between predicted bilirubin by the proposed method and the TSB values as ground truth. © 2024, Iran University of Science and Technology. All rights reserved.