The smart phone study: assessing the reliability and accuracy of neonatal jaundice measurement using smart phone application

Author:

Swarna Srujana,Pasupathy Sekar,Chinnasami Balaji,D. Nirmala Manasa,Ramraj Balaji

Abstract

Background: Current gold standard for bilirubin estimation in newborns is invasive while transcutaneous bilirubinometer which is a noninvasive option is costly. Smart phone applications can be used as an alternative to measure bilirubin. We did the study to evaluate “Biliscan” medical application for screening of neonatal jaundice.Methods: During the first seven days, neonates with suspected jaundice were taken blood samples for serum bilirubin. Within two hours photographs were taken using Biliscan app by placing a colour calibration card over the chest. Bilirubin estimate obtained after colour balancing, feature extraction and machine learning regression were compared with blood values.Results: There is a good correlation (0.6) between Biliscan bilirubin estimation and serum bilirubin levels (p <0.0001) in the present study on 35 neonates. Biliscan thorax values correlated better than abdomen values (0.6 versus 0.551) with serum values. Hence chest is the preferred area for Biliscan measurement. Conclusions: Biliscan app appears to be a good cheap option to screen for jaundice in newborns noninvasively.

Publisher

Medip Academy

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Demystifying non-invasive approaches for screening jaundice in low resource settings: a review;Frontiers in Pediatrics;2023-11-20

2. Deep Learning-Based Intelligent Model for Neonatal Cyanosis Identification Using SSGNN;2023 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT);2023-11-20

3. SpeCamX: mobile app that turns unmodified smartphones into multispectral imagers;Biomedical Optics Express;2023-08-25

4. Performance of smartphone application to accurately quantify hyperbilirubinemia in neonates: a systematic review with meta-analysis;European Journal of Pediatrics;2023-06-27

5. Jaundice Recognition in Newborn Face, Chest and Abdomen using Spatial and Spectral Domain Graph Neural Network;2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT);2023-05-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3