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: 10267717
• 负责人: Diane Joyce Cook
• 金额: $ 60.39万
• 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/10267717
• 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; multimodal data; multimodality; novel; 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 世界的人口正在衰老，老年人患有阿尔茨海默氏病和 相关痴呆症（ADRD）是我们社会必须解决的挑战。而医疗保健可用性的未来 服务质量似乎不确定，同时在普遍计算和聪明的情况下进步 嵌入式系统提供了满足这些需求的创新策略。哪种技术的一个特殊需求 可以帮助解决方案是对一个人的功能性能进行评估和帮助。长期目标 这项工作是开发将改善独立功能和生活质量的技术 具有功能限制的人（尤其是ADRD的个体），并减少他们的缓解 照顾者。该应用程序的主要目的是开发一种基于多模式传感器的方法 自动化功能健康评估和每天活动的帮助。建立在我们先前的 协作工作，我们的方法是从 环境传感器，移动传感器，自由文本和评估应用程序（AIM 1）。这个融合的“人类行为”将 为自动化功能评估提供基础，以及基于观察的基础真理和 通过面对面的验证每种组件技术，包括使用补偿性策略 观察以及通过视频记录典型的日常活动和策略（AIM 2）。最后，使用 迭代，以用户为中心的基于及时的帮助的评估，我们将评估活动的能力 分割和预测技术，为活动计划提供自动支持 每天的活动完成（AIM 3）。拟议的贡献很重要，因为它们将提供 在一个人的每天环境中揭示了有关功能健康的见解 在先前的工作中。结果还可以通过实时帮助来帮助扩展功能独立性，而 结果可以帮助计划生育，提供护理以及基于实验室和实验室的措施 功能性能。这项工作很重要，因为老年人数量增加 由于慢性健康状况，经历了认知和功能限制。此外，他们解决了 个人需要在自己的家中尽可能长时间保持功能独立 改善生活质量并降低医疗保健成本。