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 世界的人口是Olzheimer疾病的增加和增加 相关痴呆症（ADRD）是我们社会必须解决的挑战。 服务质量似乎不确定 嵌入式系统提供了满足需求的创新策略。 可以帮助解决方案的评估和协助以人的功能性能。 这项工作是为了发展技术的独立运作和生活质量。 具有功能限制的人（尤其是ADRD的个体），并减少对 护理也是这样的主要目标 在我们先前的日常活动中自动化健康评估和协助。 协作工作，我们的方法将是从中收集和融合融合的 - 环境传感器，移动传感器，自由文本和评估应用程序（AIM 1）。 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，包括补偿策略的使用 观察和对典型的日常活动和策略的视频记录（AIM 2） 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 分割和预测技术可为活动开始提供自动支持 日常活动的压缩（目标3）。 在一个人的日常环境中揭示了有关功能健康的见解，但尚未进行调查 在先前的工作中。 结果可以协助计划生育，提供护理以及现实世界实验室 - 低音措施的设计 功能性能是重要的 由于慢性健康状况，经历了认知和功能性限制 个人需要在自己的家中尽可能长时间地保持独立。 改善生活质量并降低医疗保健成本。