Abstract
Digital health services tend to go beyond simple health management and auxiliary means to advanced disease monitoring. The use of apps related to particular diseases such as diabetes and the circulatory system is a large increasing every year. In particular, there is connected to the brain and nervous system tissues so it is possible to diagnose the disease state of the related tissue from all the changes in the iris image. Although an iris glasses camera module was developed in the previous study, there was a limit in user convenience in the method of acquiring images using the USB communication method. In addition, if the disease is read with an opaque iris image when taking an iris photograph with a smartphone, the patient’s disease may be missed as a result of no disease, so it is important to obtain a clear iris image. This research proposed an iris recognition lens implementation of a small and can be easily carried and designed considering the safety of patients with high-definition iris image capture. In this study, an LED iris lens was designed and manufactured can iris recognition to show the crown of the autonomic nervous system. It is necessary to verify whether the developed LED iris lens can perform to show the crown of the autonomic nervous system. Measurements are classfied in two ways iris clarity through smartphones, iris clarity through Test Tool, and the number of attempts to secure a clear iris image. The development lange of the Test Tool is Python, and the Average Square Shrinking algorithm was applied to detect autonomic neuropathy in the iris. When verifying the iris, the iris data set provided by CASIA(China’s Biological Research Institute)was used as reference data. As a result of the test, The conventional app for iris recognition can obtain at most 12% of clarity which is not enough to diagnosis the diseases while using the LED iris lens on the smartphone gives 91% of the iris brightness. Additionally, the number of trials for iris recognition was only once while the conventional method needs at least 8 times to get a clear iris image. As a result of verifying the iris image by developing an LED iris lens through this study, it was possible to secure a clear iris image at the level of disease diagnosis. A clear iris reduces diagnostic errors and contributes sufficiently to patient safety. There is a lot of interest in mobile health apps for self-diagnosis. However, it is difficult to find useful App. for self-diagnosis. After applying the LED iris lens developed through this study, it is judged that it will be of practical help to disease prevention if the health status of the iris is checked periodically.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
