Accessible Eye Tracking Solution for Assessment of Cognitive Deficits in Alzheimer's Disease

项目摘要 目前有数百万美国人患有老年痴呆症，预计这一数字将迅速升级 在未来几年。这种疾病的流行对家庭的经济和情感产生了重大影响， 护理人员和整个医疗系统。虽然目前还没有治愈老年痴呆症的方法， 疾病检测和疾病诊断可以提供治疗和管理的机会 提高生活质量的战略。目前的评估方法要么是侵入性的，非客观的，要么不是。 因此无法满足我们需要的使用和能力要求。个人的 眼动质量是一个客观的神经健康指标，但评估一直局限于临床 因此，采用的情况有限。该项目将 通过使用常用移动终端进行评估，消除这些限制 硬件和实时数据分析来跟踪和测量眼球运动。 本项目的目标是开发一个应用程序，利用集成的移动终端摄像头， 测量眼球运动的算法，可用于评估和监测年龄和阿尔茨海默病 相关条件。来自移动的应用程序的测量将与基于硬件的眼动跟踪进行比较 系统，以确定措施的可靠性和有效性。 成功地完成这些目标将导致一个可访问的工具，可以有效地评估眼动 质量.我们的应用程序的高可访问性、分发性和可用性将为早期开发提供机会。 检测、治疗和意识到目前或预计将 患有老年痴呆症

PROJECT SUMMARY Millions of Americans currently suffer from Alzheimer’s disease, and the number is expected to escalate rapidly in the coming years. The disease prevalence has a significant financial and emotional impact on families, caregivers, and the healthcare system as a whole. Although there is currently no cure for Alzheimer’s, early disease detection and diagnosis of the disease can provide an opportunity for treatment and management strategies to enhance quality of life. Current assessment methods are either invasive, non-objective, or not available to the masses, and therefore fail to meet the use and capability requirements we need. An individual’s eye movement quality is an objective neurological heath indicator, but assessment has been limited to clinical visits with specialized equipment and training, and therefore has received limited adoption. This project will remove those limitations by producing an assessment that will utilize commonly available mobile device hardware and real-time data analysis to track and measure eye movements. The objective of this project is to develop an application that utilizes integrated mobile device cameras and algorithms to measure eye movement that can be used to assess and monitor age- and Alzheimer’s Disease related conditions. The measures from the mobile app will be compared to a hardware-based eye tracking system to determine the reliability and validity of the measures. Successfully completing these aims will result in an accessible tool that can effectively assess eye movement quality. The high accessibility, distribution, and usability of our application will provide an opportunity for early detection, therapies, and awareness of additional markers for the millions that currently are or are expected to suffer from Alzheimer’s disease.