Review on Jaundice Detection in Neonates Using Image Processing

Abstract

This study aims a mobile support system to aid health care professionals in hospitals or in regions far away from hospitals to utilize noninvasive image processing methods for classification of neonatal jaundice, Because of an increase in bilirubin levels, which causes a yellowish discoloration of the skin in neonates, jaundice could develop during the first week of life. Because bilirubin is present in the nervous systems, extreme jaundice and hazardous amounts of bilirubin can induce brain damage. The most efficient method for the measurement of bilirubin is by non-invasive blood sampling, but it is uncomfortable for the baby, and it can cause loss of blood and anemia, particularly if multiple blood tests are needed. Blood testing also put the baby at danger of illness. Furthermore, because the findings of intrusive testing are not instantaneous, they take time. This research presents a new system for jaundice identification differences in skin color analysis in attempt to face all of the concerns mentioned previously. Because it is inexpensive, objective, ubiquitous, and less unpleasant to newborns. The proposed system uses a digicam as a color-based screening tool. Jaundice was discovered and estimated to use the analysis derived from the images, opening the way for more case studies in medical applications, particularly in diagnosis, health monitoring, and active therapy.