Literature DB >> 29333352

Smartphone-Based Point-of-Care Urinalysis Under Variable Illumination.

Moonsoo Ra1, Mannan Saeed Muhammad2, Chiawei Lim1,3, Sehui Han1,4, Chansung Jung5, Whoi-Yul Kim6.   

Abstract

Urine tests are performed by using an off-the-shelf reference sheet to compare the color of test strips. However, the tabular representation is difficult to use and more prone to visual errors, especially when the reference color-swatches to be compared are spatially apart. Thus, making it is difficult to distinguish between the subtle differences of shades on the reagent pads. This manuscript represents a new arrangement of reference arrays for urine test strips (urinalysis). Reference color swatches are grouped in a doughnut chart, surrounding each reagent pad on the strip. The urine test can be evaluated using naked eye by referring to the strip with no additional sheet necessary. Along with this new strip, an algorithm for smartphone based application is also proposed as an alternative to deliver diagnostic results. The proposed colorimetric detection method evaluates the captured image of the strip, under various color spaces and evaluates ten different tests for urine. Thus, the proposed system can deliver results on the spot using both naked eye and smartphone. The proposed scheme delivered accurate results under various environmental illumination conditions without any calibration requirements, exhibiting performances suitable for real-life applications and an ease for a common user.

Entities:  

Keywords:  Smartphone; color-matching; colorimetric; diagnostics; optical sensor; point-of-care; urinalysis

Year:  2017        PMID: 29333352      PMCID: PMC5764119          DOI: 10.1109/JTEHM.2017.2765631

Source DB:  PubMed          Journal:  IEEE J Transl Eng Health Med        ISSN: 2168-2372            Impact factor:   3.316


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