Early Detection of Alzheimer’s Using Digital Image Processing Through Iridology, An Alternative Method

Abstract

Over the years, alternative medicine has carried out numerous systematic studies related to the ophthalmological field, specifically the eye. Studies that propose as support of analysis to the Iridology, which studies the alterations of the iris in correspondence with the organs of the human body. Thus, it presents the opportunity to investigate neuronal diseases related to certain alterations that occur in the iris such as Alzheimer's, in this way generate an alternative method for the early detection of Alzheimer's based on iridology and based on the digital processing of images. Addressing this problem, a systematic literature review was carried out to evaluate the characteristics of the iris, which allow to establish criteria to determine if a person could have a problem associated with Alzheimer's. With all this, the prototype is evaluated with an image data of N individuals who have and do not have such a clinical picture. In addition, within the evaluation is considered the extraction of several parameters that allow detecting anomalies in the iris, at the same time the best range of approximation in the pixelated will be analyzed, for the location of the brain area in the iris applying Newton's interpolation, which will allow the modeling of a function that meets the best approximation criteria. The criteria for evaluation are presented in terms of precision, sensitivity and predictive capacity, with which the behavior of the characteristics and the impact that is generated on the performance of the proposed system can be understood. Also for a technical support the algorithm was exposed to an evaluation of results estimation and this process generated an adequate radius for the correct extraction of the segment of the iris, where the whole study will be carried out to determine and validate whether the person has Alzheimer's or not.