Ra Moonsoo, Muhammad Mannan Saeed, Lim Chiawei, Han Sehui, Jung Chansung, Kim Whoi-Yul
Department of Electronics and Computer EngineeringHanyang University.
School of Electronic and Electrical Engineering, College of Information and CommunicationSungkyunkwan University.
IEEE J Transl Eng Health Med. 2017 Dec 15;6:2800111. doi: 10.1109/JTEHM.2017.2765631. eCollection 2018.
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.
尿液检测是通过使用现成的参考表来比较测试条的颜色进行的。然而,表格形式难以使用,更容易出现视觉误差,尤其是当要比较的参考色样在空间上分开时。因此,很难区分试剂垫上色调的细微差异。本手稿展示了一种用于尿液测试条(尿液分析)的参考阵列的新排列方式。参考色样被分组在一个圆环图中,围绕着测试条上的每个试剂垫。尿液检测可以通过肉眼参考测试条进行评估,无需额外的表格。除了这种新的测试条,还提出了一种基于智能手机应用的算法作为提供诊断结果的替代方案。所提出的比色检测方法在各种颜色空间下评估测试条的捕获图像,并对尿液进行十种不同的测试。因此,所提出的系统可以通过肉眼和智能手机当场提供结果。所提出的方案在各种环境光照条件下都能提供准确的结果,无需任何校准要求,表现出适合实际应用的性能,并且普通用户易于使用。