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Article type: Research Article
Authors: Sivasankari, B.a; * | Ahilan, A.b | Jeyam, A.c | Jasmine Gnanamalar, A.d
Affiliations: [a] Department of ECE, SNS College of Technology, Coimbatore, India | [b] Department of Electronics and Communication Engineering, PSN College of Engineering & Technology, Tirunelveli, India | [c] Nuclear Power Corporation of India Limited, Kudankulam, Tamil Nadu, India | [d] Department of Electrical and Electronics Engineering, PSN College of Engineering & Technology, Tirunelveli, India
Correspondence: [*] Corresponding author. E-mail: sivasankarib01@gmail.com.
Abstract: Hyperbilirubinemia or jaundice occurs in 60% of healthy babies and 80% of preterm infants because of an increase in unconjugated bilirubin in red blood cells. It is subjective to determine the severity of jaundice by visual assessment of the skin color of a newborn, and clinical judgement is dependent on the doctor’s knowledge. The paper explains the development of a non-invasive bilirubin detection technique called CliNicS, to check the bilirubin level of premature babies and report premature births and deaths to the health organization via an IOT network. CliNicS provides a noninvasive, transcutaneous bilirubin monitoring system using LED having a wavelength of 410 nm to 460 nm, and it also provides the treatment automatically by using LCT (LED Controlled Therapy) method. The level of bilirubin will be detected by using the photo detector, and the bilirubin measurement will be displayed on the LCD display. The bilirubin levels will be transmitted to doctors and health organizations via the IOT network. The proposed method helps to detect neonatal jaundice earlier, which reduces the risk of hyperbilirubinemia in newborns and makes it easier to measure total serum bilirubin levels than ever before.
Keywords: CliNicS, Hyperbilirubinemia, bilirubin, LED, IOT, Photodetector, LCT
DOI: 10.3233/AIS-220103
Journal: Journal of Ambient Intelligence and Smart Environments, vol. 14, no. 6, pp. 425-438, 2022
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