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.

项目摘要 数以百万计的美国人目前患有阿尔茨海默氏病，预计该人数将迅速升级 在未来几年。疾病患病率对家庭产生了重大的财务和情感影响， 护理人员和整个医疗保健系统。尽管目前无法治愈阿尔茨海默氏症，但很早就 疾病的疾病检测和诊断可以为治疗和管理提供机会 提高生活质量的策略。当前的评估方法要么是侵入性，非客观性的 群众可用，因此无法满足我们需要的使用和功能要求。一个人的 眼动质量是客观的神经系统热指标，但评估仅限于临床 访问专业设备和培训，因此获得了有限的采用。这个项目将 通过产生将使用常用的移动设备的评估来消除这些限制 硬件和实时数据分析以跟踪和测量眼睛运动。 该项目的目的是开发一个应用程序，该应用程序利用集成的移动设备摄像机和 测量可用于评估和监测年龄和阿尔茨海默氏病的算法 相关条件。移动应用程序的措施将与基于硬件的眼睛跟踪进行比较 确定测量的可靠性和有效性的系统。 成功完成这些目标将导致可访问的工具，可以有效地评估眼睛运动 质量。应用程序的高可访问性，分配和可用性将为早期提供机会 目前或期望的数百万的检测，疗法和意识 患有阿尔茨海默氏病。