Multi-modal functional health assessment and intervention for individuals experiencing cognitive decline

针对认知能力下降个体的多模式功能健康评估和干预

• 批准号: 10426321
• 负责人: Diane Joyce Cook
• 金额: $ 59.68万
• 依托单位: WASHINGTON STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-30 至 2025-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10426321
• 关键词: Address; Aging; Algorithms; Alzheimer' s disease related dementia; Automation; Awareness; Behavior; Caregiver Burden; Caregivers; Caring; Chronic; Clinic; Clinical; Clinical assessments; Cognitive; Complex; Data; Data Analytics; Data Collection; Data Sources; Dementia; Detection; Early Diagnosis; Elderly; Environment; Evaluation; Family Planning; Future; Goals; Health; Health Care Costs; Health Personnel; Home; Human; Impaired cognition; Individual; Intelligence; Interdisciplinary Study; Intervention; Knowledge; Machine Learning; Measures; Memory; Methods; Modeling; Monitor; Outcome; Participant; Patient Self-Report; Performance; Persons; Population; Public Health; Quality of life; Research; Role; Self Management; Services; Societies; Source; System; Techniques; Technology; Testing; Text; Time; Validation; Video Recording; Work; age related; base; cognitive rehabilitation; cognitive testing; design; digital; effective therapy; experience; functional independence; functional outcomes; functional status; health assessment; health care availability; health care quality; improved; innovation; insight; iterative design; learning algorithm; learning strategy; mild cognitive impairment; mobile sensor; multimodal data; multimodality; novel; pilot test; research clinical testing; sensor; smart home

PROJECT SUMMARY / ABSTRACT The world's population is aging and the increasing number of older adults with Alzheimer's disease and related dementias (ADRDs) is a challenge our society must address. While the future of healthcare availability and quality of services seems uncertain, at the same time advances in pervasive computing and intelligent embedded systems provides innovative strategies to meet these needs. One particular need which technology can help address is assessment and assistance with a person's functional performance. The long-term goal of this work is to develop technologies that will improve the independent functioning and quality of life of individuals with functional limitations (particularly individuals with ADRDs) and reduce their reliance on caregivers. The primary objective of this application is to develop a multi-modal sensor-based approach to automate functional health assessment and assistance with everyday activities. Building on our prior collaborative work, our approach will be to collect and fuse multi-modal functional performance data from ambient sensors, mobile sensors, free text, and assessment apps (Aim 1). This fused “human behaviorome” will provide a basis, together with observation-based ground truth, for automated functional assessment and validation of each component technology, including the use of compensatory strategies, through in-person observation and through video recording of typical daily activities and strategies (Aim 2). Finally, using iterative, user-centered assessment of prompt-based assistance, we will evaluate the ability of activity segmentation and forecasting techniques to provide automated support for activity initiation and accurate completion of everyday activities (Aim 3). The proposed contributions are significant because they will provide insights on functional health revealed within a person's everyday environment that have not been investigated in prior work. The results can also help to extend functional independence through real-time assistance, while the outcomes can assist family planning, provision of care, and design of real-world and lab-based measures of functional performance. This work is important because of the increasing number of older individuals experiencing cognitive and functional limitations due to chronic health conditions. Furthermore, they address the need for individuals to remain functionally independent as long as possible in their own homes, thereby improving quality of life and reducing health care costs.

项目摘要/摘要 世界人口正在老龄化，患有阿尔茨海默病的老年人和 相关痴呆症(ADRDS)是我们社会必须应对的挑战。虽然医疗保健服务的未来 而服务质量似乎不确定，同时普适计算和智能的进步 嵌入式系统为满足这些需求提供了创新的策略。一个特别需要的是哪种技术 可以帮助解决的是评估和协助一个人的功能表现。的长期目标是 这项工作是为了开发技术，以改善患者的独立功能和生活质量 有功能限制的人(特别是患有ADRDS的人)，减少对 照顾者。该应用程序的主要目标是开发一种基于多模式传感器的方法来 自动化功能健康评估和日常活动协助。建立在我们之前的基础上 协作工作，我们的方法是从以下方面收集和融合多模式功能性能数据 环境传感器、移动传感器、免费文本和评估应用程序(目标1)。这种融合了“人类行为主义”的意志 与基于观察的地面真实情况一起，为自动化功能评估和 通过面对面验证每项组件技术，包括使用补偿策略 观察并通过录像记录典型的日常活动和战略(目标2)。最后，使用 迭代的、以用户为中心的即时援助评估，我们将评估活动能力 细分和预测技术，为活动的启动和准确提供自动化支持 完成日常活动(目标3)。提议的捐款数额很大，因为它们将提供 关于一个人日常环境中的机能健康的见解还没有被调查过 在之前的工作中。结果还可以通过实时协助帮助扩展功能独立性，同时 其结果可以帮助计划生育、提供护理以及设计现实世界和基于实验室的措施 功能性能。这项工作很重要，因为老年人的数量不断增加 由于慢性健康状况而经历认知和功能限制。此外，它们还解决了 个人需要尽可能长时间地在自己的家中保持功能独立，从而 提高生活质量，降低医疗成本。