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

用于评估阿尔茨海默病认知缺陷的眼动追踪解决方案

• 批准号: 10383292
• 负责人: Herbert Yoo
• 金额: $ 49.72万
• 依托单位: SENAPTEC INC.
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10383292
• 关键词: Address; Adoption; Age; Aging; Algorithmic Analysis; Algorithms; Alzheimer' s Disease; American; Assessment tool; Awareness; Back; Biological Markers; Brain; Cause of Death; Characteristics; Clinical; Cognition; Cognitive; Cognitive deficits; Computer software; Data; Data Analyses; Databases; Detection; Development; Diagnosis; Diagnostic; Disease; Disease Progression; Early Diagnosis; Early treatment; Effectiveness; Emotional; Ensure; Erythema Infectiosum; Eye; Eye Movements; Family Caregiver; Foundations; Funding; Future; Goals; Head Movements; Health; Health Technology; Healthcare; Healthcare Systems; Home; Human; Human Subject Research; Impaired cognition; Impairment; Individual; Iris; Longevity; Measures; Methods; Military Personnel; Monitor; Movement; Neurodegenerative Disorders; Neurologic; Pathologic; Patients; Phase; Population; Positioning Attribute; Prevalence; Prognosis; Protocols documentation; Quality of life; Reporting; Research; Saccades; Sensory; Services; Small Business Innovation Research Grant; System; Technology; Telemedicine; Testing; Therapeutic Intervention; Time; Training; Validity and Reliability; Vision; Visit; Youth; aging population; associated symptom; base; brain health; cognitive change; college; data tools; design; disease diagnosis; eHealth; equipment training; experience; family burden; handheld mobile device; human old age (65+); improved; innovation; interest; mobile application; oculomotor; pandemic disease; prototype; relating to nervous system; sample fixation; skills; software development; success; therapy development; tool; usability; visual motor; visual tracking

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.

项目概要 目前有数百万美国人患有阿尔茨海默氏病，并且这一数字预计将迅速上升 在未来几年中，这种疾病的流行会对家庭产生重大的经济和情感影响， 尽管目前还没有治愈阿尔茨海默氏症的方法，但仍需尽早治疗。 疾病的检测和诊断可以为治疗和管理提供机会 当前的评估方法要么是侵入性的、非客观的，要么是非侵入性的。 可供大众使用，因此无法满足我们个人所需的使用和能力要求。 眼动质量是一项客观的神经健康指标，但评估仅限于临床 访问需要专门的设备和培训，因此该项目的采用有限。 通过利用常用移动设备进行评估来消除这些限制 硬件和实时数据分析来跟踪和测量眼球运动。 该项目的目标是开发一个利用集成移动设备摄像头和 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 移动应用程序的测量结果将与基于硬件的眼动追踪进行比较。 系统来确定措施的可靠性和有效性。 成功完成这些目标将产生一个可以有效评估眼球运动的可用工具 我们的应用程序的高可访问性、分发性和可用性将为早期提供机会。 为数以百万计目前正在或预计将出现的其他标记物进行检测、治疗和认识 患有阿尔茨海默病。