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Article

Neonatal Jaundice Detection Using a Computer Vision System

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Department of Medical Instrumentation Techniques Engineering, Electrical Engineering Technical College, Middle Technical University, Baghdad 10022, Iraq
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UniSA STEM, University of South Australia, Mawson Lakes, SA 5095, Australia
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Medical Laboratory Technology, College of Health and Medical Technology, Middle Technical University, Baghdad 10022, Iraq
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Informatics and Telecommunication Public Company, Ministry of Communication, Baghdad 10022, Iraq
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Joint and Operations Analysis Division, Defence Science and Technology Group, Melbourne, VIC 3207, Australia
*
Author to whom correspondence should be addressed.
Academic Editor: Oscar Reinoso Garcia
Designs 2021, 5(4), 63; https://doi.org/10.3390/designs5040063
Received: 20 September 2021 / Revised: 29 September 2021 / Accepted: 29 September 2021 / Published: 8 October 2021
(This article belongs to the Section Bioengineering Design)
Jaundice or Hyperbilirubinemia is a very common condition that affects newborns in their first few weeks of life. The main cause of jaundice is the high level of the bilirubin substance in the blood. As bilirubin is toxic to brain cells, acute bilirubin encephalopathy can occur in cases of extreme jaundice. This condition can result in brain trauma and lead to kernicterus, which causes repetitive and uncontrolled movements, a permanent upward look, and hearing loss. Thus, a timely diagnosis and treatment can help in preventing long-term damage. In this paper, a developed system based on a digital camera was proposed to diagnose and treat jaundice in newborns. The system detects jaundice and determines if the neonate needs treatment based on the analysis obtained from the real-time captured images. The treatment was achieved by using an Arduino Uno microcontroller to drive phototherapy lighting, which has proven to be an efficient treatment method for jaundice. In addition, the proposed system has the ability to send the diagnostic results to the mobile phone of the care provider. The obtained results from 20 infants inside the intensive care unit showed that the proposed system was accurate in terms of detecting jaundice, easy to implement, and affordable. View Full-Text
Keywords: jaundice; Hyperbilirubinemia; phototherapy; skin color analysis; computer vision jaundice; Hyperbilirubinemia; phototherapy; skin color analysis; computer vision
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MDPI and ACS Style

Hashim, W.; Al-Naji, A.; Al-Rayahi, I.A.; Alkhaled, M.; Chahl, J. Neonatal Jaundice Detection Using a Computer Vision System. Designs 2021, 5, 63. https://doi.org/10.3390/designs5040063

AMA Style

Hashim W, Al-Naji A, Al-Rayahi IA, Alkhaled M, Chahl J. Neonatal Jaundice Detection Using a Computer Vision System. Designs. 2021; 5(4):63. https://doi.org/10.3390/designs5040063

Chicago/Turabian Style

Hashim, Warqaa, Ali Al-Naji, Izzat A. Al-Rayahi, Makram Alkhaled, and Javaan Chahl. 2021. "Neonatal Jaundice Detection Using a Computer Vision System" Designs 5, no. 4: 63. https://doi.org/10.3390/designs5040063

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