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Peecheck 2.0: Design and Improvement of Rapid and Low-Cost Urine Analysis Device for Rural Health Care

Authors

Rose Ann C. Estoquia.

Department of Electrical Engineering, Polytechnic University of the Philippines Sta. Mesa, Manila Philippines (PH)

Niña Nicole F. Galiza.

Department of Electrical Engineering, Polytechnic University of the Philippines Sta. Mesa, Manila Philippines (PH)

Jullean Jasper D. Historillo.

Department of Electrical Engineering, Polytechnic University of the Philippines Sta. Mesa, Manila Philippines (PH)

Teejay Marc C. Musca

Department of Electrical Engineering, Polytechnic University of the Philippines Sta. Mesa, Manila Philippines (PH)

Kristian Carlo B. Victorio

Department of Electrical Engineering, Polytechnic University of the Philippines Sta. Mesa, Manila Philippines (PH)

Article Information

DOI: 10.51583/IJLTEMAS.2024.130902

Subject Category: Electrical Engineering

Volume/Issue: 13/9 | Page No: 15-33

Publication Timeline

Submitted: 2024-09-26

Published: 2024-09-26

Abstract

Abstract: The research paper introduced improvements to PeeCheck, a portable urine analyzer, addressing the need for versatile, rapid, and low-cost urine analysis tools, particularly in resource-constrained rural healthcare settings. The focus was on evaluating the accuracy and speed of reading the urine strip and the electrical characteristics of the portable urine analyzer device across various parameters. PeeCheck 2.0 represented enhancements in medical diagnostics using urine as a non-invasive sample. By incorporating the integration of technologies such as versatility in using variations of urine strips and data cloud storage using the Raspberry Pi Pico W microcontroller, PeeCheck 2.0 was designed to analyze 14 colorimetric urine characteristics, aiding in the pre-diagnostic of health issues associated with kidney and metabolic-related diseases. The study evaluated PeeCheck 2.0's performance through the analysis of urine samples collected from 3rd- and 4th-year electrical engineering students and compared the results with those obtained from standard laboratory urinalysis. The findings highlighted PeeCheck 2.0's potential to enhance health outcomes and reduce healthcare disparities in rural communities by providing healthcare providers with a low-cost and reliable solution for rapid detection and addressing health concerns in areas with limited resources. The study findings demonstrated that PeeCheck 2.0 achieved significant accuracy and speed in analyzing urine samples across 10 colorimetric parameters compared to standard laboratory methods. PeeCheck 2.0 obtained an overall accuracy of 92.470 percent in its analyses. Results from the evaluation with urine samples collected from electrical engineering students showed a high correlation with laboratory urinalysis, validating PeeCheck 2.0's efficacy in detecting key indicators of kidney and metabolic-related diseases. However, continuous programming-based calibration optimized PeeCheck 2.0 by adjusting parameters in real-time with data and sensor feedback, ensuring consistent accuracy and reliability in urine parameter testing. This research underscored PeeCheck 2.0's role in advancing medical diagnostics through innovation in urine analysis technology, contributing to improved healthcare delivery and outcomes in rural and underserved communities.

Keywords

urine reagent strip, color sensor, portable urine analyzer, urinalysis, cloud storage

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References

1. Asael, (2023). Access to Healthcare in the Philippines: Addressing Disparities and Challenges. Secret Philippines. [Google Scholar] [Crossref]

2. Yuki, (2023). Advancements in Rural Health Care in the Philippines. The Borgen Project. [Google Scholar] [Crossref]

3. Balhara, N., Devi, M., A. Balda, M. Phour, and Giri, A., (2023). “Urine; a new promising biological fluid to act as a non-invasive biomarker for different human diseases,” ScienceDirect, vol. 5, pp. 40–52. [Google Scholar] [Crossref]

4. Sequeira-Antunes, B. and Ferreira, A., (2023). “Urinary biomarkers and point-of-care urinalysis devices for early diagnosis and management of disease: A review,” Biomedicines, vol. 11, no. 4, p. 1051. [Google Scholar] [Crossref]

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