ISIITA

ISIITA 2024

UNIVERSITY OF THE PHILIPPINES CEBU AND CRIMSON RESORT & SPA MACTAN, CEBU

Cebu island, Philippines

January 15 ~ 18

ISIITA 2021 Summer backup

Using RGB Sensor to Develop a Mini-size Portable Urine Analyzer

Abstract
Author
Soomin
Date
2021-07-08 15:55
Views
175
Type of Presentation Oral (  ) / Poster ( 0  ) / Anything (   )
Scope and Interests Biomedical Engineering
Title of Paper Using RGB Sensor to Develop a Mini-size Portable Urine Analyzer

Corresponding Author(s)

Name: Wei Qun


Affiliation: School of Medicine



e-mail: weiqun@kmu.ac.kr



Tel: +82-10-8843-0716

Author(s)
name / Affiliation / e-mail

1) Soo-min Lee, Graduate School of Medicine, e_soomin@naver.com

2) Bu-seong Kim, Graduate School of Medicine

3) Jung-woo Koo, School of Medicine

4) Hee-jun Park, hjpark@kmu.ac.kr

Abstract

Although kidney disease is underestimated in severity compared to other diseases such as heart disease and stroke, chronic kidney disease (CDK) mortality increased by 14.5% from 1990 to 2017, making it the twelfth leading cause of death due to kidney failure. It is estimated that about 1.4 million people die from complications caused by this. As such, the incidence and mortality of CDK are increasing worldwide, and since it can cause complications and have a fatal effect on life, early diagnosis and prevention of the disease is very important. In general, urinalysis, which is a relatively simple test that is easy to collect for diagnosis, puts less burden on the patient, and is relatively simple, is performed. Urinalysis is classified into physical property test, chemical test, and urine sediment test method, and the double chemical test is used for home urine analyzers in that, unlike physical feature test, quantitative data extraction is possible, and it is cheaper and more accurate than urine sediment test. have. However, in a typical home urine analyzer, the position of a 10-parameter urine dipstick is fixed, and there is a limitation in that it causes a high cost by using an expensive optical sensor. Therefore, in this paper, we developed a motor-based urine analysis system and proposed a low-cost household urine analyzer that can measure 10 parameters of urine with a single optical sensor. And it was designed to be linked with a mobile device through USB serial communication for data storage and processing by analyzing the concentration of metabolites measured through the calibration algorithm in the MCU. As a result of performing a performance experiment using a 10-parameter urine dipstick for diagnosis by implementing the prototype of the proposed device, it showed more than 90% accuracy in the identification of negative and positive first-stage hit rates and abnormal values ​​for each element. Up to now, the average of 10 types of test accuracy was over 80%, proving the high measurement and analysis accuracy of the proposed device.

Keywords