智能环境下新生儿护理生活工具互联解决方案(诊所

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Ambient Intelligence and Smart Environments Pub Date : 2022-11-24 DOI:10.3233/ais-220103
B. Sivasankari, Ahilan Appathurai, A. Jeyam, A. Malar
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引用次数: 1

摘要

高胆红素血症或黄疸发生在60%的健康婴儿和80%的早产儿,因为红细胞中未结合的胆红素增加。通过新生儿肤色的视觉评估来判断黄疸的严重程度是主观的,临床判断依赖于医生的知识。这篇论文解释了一种名为CliNicS的无创胆红素检测技术的发展,该技术可以检查早产儿的胆红素水平,并通过物联网网络向卫生机构报告早产和死亡情况。诊所使用波长为410 nm至460 nm的LED提供无创的经皮胆红素监测系统,并通过LCT (LED控制治疗)方法自动提供治疗。利用光电探测器检测胆红素水平,并在液晶显示屏上显示胆红素测量结果。胆红素水平将通过物联网网络传送给医生和医疗机构。所提出的方法有助于早期发现新生儿黄疸,从而降低新生儿高胆红素血症的风险,并使其比以往更容易测量血清总胆红素水平。
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Care living instrument for neonatal infant connectivity solution (CliNicS) in smart environment
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.
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来源期刊
Journal of Ambient Intelligence and Smart Environments
Journal of Ambient Intelligence and Smart Environments COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
4.30
自引率
17.60%
发文量
23
审稿时长
>12 weeks
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.
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