Journal article
A smartphone-based point-of-care quantitative urinalysis device for chronic kidney disease patients
Journal of network and computer applications, Vol.115, pp.59-69
08/2018
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Abstract
This paper presents the design and development of a smartphone-based urinalysis device that has the ability for chronic kidney disease (CKD) patients themselves to conduct rapid and reliable quantitative urinalysis of human serum albumin (HSA) using an aggregation-induced emission (AIE) nanomaterial bioprobe with their own smartphones. The focus of this paper is a novel solution to the device agnosticism issue as a wide diversity of smartphones co-exist in the market. The solution comprises: a) custom-design and fabrication of an imaging housing that provides a consistent imaging condition regardless of the physical dimensions and the camera position of the smartphone used, b) orchestration of an image processing and analysis process that produces consistent image colour intensity values regardless of the camera sensor and imaging software used by the smartphone, and c) special design and development of an intuitive cross-platform mobile application that is scalable to growth, adaptable to changes, resilient to loss of data, and has an extremely low requirement for smartphone hardware. Preliminary evaluation of the device has confirmed the effectiveness of the proposed solution and the viability of such a smartphone-based device for people who have already developed or are prone to CKD to regularly perform point-of-care (POC) urine testing in order to self monitor their own health conditions without the burden of frequent visits to their doctors.
Details
- Title
- A smartphone-based point-of-care quantitative urinalysis device for chronic kidney disease patients
- Creators
- Shaymaa Akraa - Flinders UniversityAnh Pham Tran Tam - Flinders UniversityHaifeng Shen - Flinders UniversityYouhong Tang - Flinders UniversityBen Zhong Tang - Hong Kong University of Science and TechnologyJimmy Li - Flinders UniversitySandy Walker - Flinders University
- Publication Details
- Journal of network and computer applications, Vol.115, pp.59-69
- Publisher
- Elsevier Ltd
- Identifiers
- 991013176702202368
- Copyright
- © 2018 Elsevier Ltd. All rights reserved.
- Academic Unit
- Faculty of Science and Engineering
- Language
- English
- Resource Type
- Journal article