The Research Of Diagnostic Method Of Eye Diseases Based On Apple Mobile Devices

In recent years, the incidence rate of eye diseases is increasing comprehensive.In china,a survey report shows that the detection rate of poor eyesight among the children and youngsters is:28%of primary students,60%of sencondary school students,85%of high school students, and there is a rising trend.More and more people are suffering from eye diseases worldwide, and the incidence of keratitis, myopia, and bacterial infection is rising. Meanwhile, studies show that some of brain diseases can be detected by detecting the characteristic changes of some part in the eye. In the elementary stage of eye diseases, if some effective methods of testing can be used properly, then the patients will be cured timely. At the same time, after curing the patients, the doctors should offer the appropriate test to measure the patients’restoringstate.So for different eye diseases, it is so necessary to propose different effective methods apparently.In this paper, an interactive, portable, and inexpensive solution for estimating Eye Problems has been introduced. While expensive optical devices for automatic estimation of Eye Problems exist, so the purpose of the method presented in this paper is not to replace the optical devices, but to greatly simplify the mechanism so as to put the human subject in the loop in time by drawing support from high resolution programmable mobile terminal equipments and interactive graphical user interface, in order to achieve the purpose of detecting eye diseases conveniently, fast and effectively.The mobile terminal applications products which Apple Company have researched and developed have a very high sales volume worldwide.Studying up on the eye disease pathology, this article makes use of the Apple’s mobile devices and Xcode development tools to program a set of well-tested testing procedures, and eye patients can check whether their own eyes are suffering from diseases or not. Compared to other applications in Apple’s mobile devices, the eye test procedures are rarely seen, so the test applications of eye diseases proposed by this paper will have great market prospects.