title: [A study of biomechanical method for urine test based on color difference estimation].
abstract: The biochemical analysis of urine is an important inspection and diagnosis method in hospitals. The conventional method of urine analysis covers mainly colorimetric visual appraisement and automation detection, in which the colorimetric visual appraisement technique has been superseded basically, and the automation detection method is adopted in hospital; moreover, the price of urine biochemical analyzer on market is around twenty thousand RMB yuan (Y), which is hard to enter into ordinary families. It is known that computer vision system is not subject to the physiological and psychological influence of person, its appraisement standard is objective and steady. Therefore, according to the color theory, we have established a computer vision system, which can carry through collection, management, display, and appraisement of color difference between the color of standard threshold value and the color of urine test paper after reaction with urine liquid, and then the level of an illness can be judged accurately. In this paper, we introduce the Urine Test Biochemical Analysis method, which is new and can be popularized in families. Experimental result shows that this test method is easy-to-use and cost-effective. It can realize the monitoring of a whole course and can find extensive applications.
authors.affiliation: State Key Laboratory of Applied Optics, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130022, China. pink20003@126.com
authors.forename: Chunhong
authors.initials: C
authors.lastname: Wang
authors.forename: Yue
authors.initials: Y
authors.lastname: Zhou
authors.forename: Hongxia
authors.initials: H
authors.lastname: Zhao
authors.forename: Fengkun
authors.initials: F
authors.lastname: Zhou
mesh_terms: D001331:Automation; D003124:Colorimetry / Q000379:methods*; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D012815:Signal Processing, Computer-Assisted; D016482:Urinalysis / Q000379:methods*