B. Sivasankari, Ahilan Appathurai, A. Jeyam, A. Malar
{"title":"Care living instrument for neonatal infant connectivity solution (CliNicS) in smart environment","authors":"B. Sivasankari, Ahilan Appathurai, A. Jeyam, A. Malar","doi":"10.3233/ais-220103","DOIUrl":null,"url":null,"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.","PeriodicalId":49316,"journal":{"name":"Journal of Ambient Intelligence and Smart Environments","volume":"41 1","pages":"425-438"},"PeriodicalIF":1.8000,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ambient Intelligence and Smart Environments","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.3233/ais-220103","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 1
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.
期刊介绍:
The Journal of Ambient Intelligence and Smart Environments (JAISE) serves as a forum to discuss the latest developments on Ambient Intelligence (AmI) and Smart Environments (SmE). Given the multi-disciplinary nature of the areas involved, the journal aims to promote participation from several different communities covering topics ranging from enabling technologies such as multi-modal sensing and vision processing, to algorithmic aspects in interpretive and reasoning domains, to application-oriented efforts in human-centered services, as well as contributions from the fields of robotics, networking, HCI, mobile, collaborative and pervasive computing. This diversity stems from the fact that smart environments can be defined with a variety of different characteristics based on the applications they serve, their interaction models with humans, the practical system design aspects, as well as the multi-faceted conceptual and algorithmic considerations that would enable them to operate seamlessly and unobtrusively. The Journal of Ambient Intelligence and Smart Environments will focus on both the technical and application aspects of these.