Quantifying the glucose concentration in urine test strip with a color-calibrated imaging system

Cheng-Ru Li, Chih-Chung Yang, H. Tsai, Chun-Han Chou, Kuo-Cheng Huang, Yu-Hsuan Lin
{"title":"Quantifying the glucose concentration in urine test strip with a color-calibrated imaging system","authors":"Cheng-Ru Li, Chih-Chung Yang, H. Tsai, Chun-Han Chou, Kuo-Cheng Huang, Yu-Hsuan Lin","doi":"10.1109/SAS51076.2021.9530141","DOIUrl":null,"url":null,"abstract":"Urine test paper is often used to roughly judge the course of certain diseases, such as diabetes. Excessive glucose in the urine will react with the chemicals in the test strip, and then show an appropriate color to provide human observation and judgment. Generally speaking, the color of the test strip can only tell the approximate glucose concentration in urine through visual observation. Accurate quantification must rely on professional electrochemical analysis equipment. In this study, an imaging system with color correction was developed to quantify the color of urine glucose test paper. Through the composition of high color rendering lighting, darkroom barrel and color algorithm, the measurement results successfully achieved color accuracy with a color deviation of less than 3. A color distribution display method that is more suitable for human observation has been successfully established. The method of swatch contribution analysis has also been developed to numerically quantify the glucose concentration in urine. The results show that the developed system can greatly improve the resolution of urine glucose test strip. This research provides a low-cost, high-quality detection concept that can be used for home medical diagnosis and related chronic disease applications.","PeriodicalId":224327,"journal":{"name":"2021 IEEE Sensors Applications Symposium (SAS)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS51076.2021.9530141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Urine test paper is often used to roughly judge the course of certain diseases, such as diabetes. Excessive glucose in the urine will react with the chemicals in the test strip, and then show an appropriate color to provide human observation and judgment. Generally speaking, the color of the test strip can only tell the approximate glucose concentration in urine through visual observation. Accurate quantification must rely on professional electrochemical analysis equipment. In this study, an imaging system with color correction was developed to quantify the color of urine glucose test paper. Through the composition of high color rendering lighting, darkroom barrel and color algorithm, the measurement results successfully achieved color accuracy with a color deviation of less than 3. A color distribution display method that is more suitable for human observation has been successfully established. The method of swatch contribution analysis has also been developed to numerically quantify the glucose concentration in urine. The results show that the developed system can greatly improve the resolution of urine glucose test strip. This research provides a low-cost, high-quality detection concept that can be used for home medical diagnosis and related chronic disease applications.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用彩色校准成像系统定量测定尿试纸中的葡萄糖浓度
尿检纸常用于粗略判断某些疾病的病程,如糖尿病。尿液中过量的葡萄糖会与试纸中的化学物质发生反应,然后显示出适当的颜色,供人观察和判断。一般来说,试纸条的颜色只能通过目测来判断尿液中葡萄糖的近似浓度。准确的定量必须依靠专业的电化学分析设备。在本研究中,开发了一种具有颜色校正的成像系统,用于量化尿糖试纸的颜色。通过高显色性照明、暗室桶和显色算法的组合,测量结果成功实现了显色偏差小于3的显色精度。成功地建立了一种更适合人类观察的色彩分布显示方法。样本贡献分析的方法也被开发用于数值量化尿中的葡萄糖浓度。结果表明,该系统可大大提高尿糖试纸的分辨率。本研究提供了一种低成本、高质量的检测概念,可用于家庭医疗诊断和相关慢性疾病的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Quasi-Static Magnetic Localization of Capsule Endoscopes with an Active Integrated Coil Comparing BLE and NB-IoT as Communication Options for Smart Viticulture IoT Applications Self-Compensation of Cross Influences using Spectral Transmission Ratios for Optical Fiber Sensors in Lithium-Ion Batteries Polycrystalline silicon photovoltaic harvesting for indoor IoT systems under red- far red artificial light SCPI: IoT and the Déjà Vu of Instrument Control
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1