Intelligent Systems for Detection of Aging Changes

检测老化变化的智能系统

• 批准号: 7434419
• 负责人: JEFFREY A KAYE
• 金额: $ 136.91万
• 依托单位: OREGON HEALTH & SCIENCE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-05-01 至 2011-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7434419
• 关键词: Activities of Daily Living; Address; Age; Aged, 80 and over; Aging; Algorithms; Alzheimer' s Disease; American; Area; Assisted Living Facilities; Attitude; Biomedical Engineering; Caring; Chronic; Clinical; Clinical assessments; Cognitive; Communication; Communities; Cost Savings; Data; Dementia; Detection; Development; Early Diagnosis; Environment; Equilibrium; Event; Expert Systems; Failure; Feedback; Financial compensation; Fingers; Future; Health; Health Professional; Health Sciences; Health Status; Healthcare; Heterogeneity; Home environment; Impaired cognition; Impairment; Individual; Industry; Institutes; Institution; Intervention; Laboratories; Lead; Learning; Life; Life Expectancy; Longitudinal Studies; Maintenance; Measurable; Measurement; Medical; Medicine; Methodology; Methods; Monitor; Morbidity - disease rate; Motor; Motor Activity; Numbers; Oregon; Outcome; Pattern; Pharmaceutical Preparations; Population; Prevention; Quality of life; Rate; Research; Research Design; Research Personnel; Resource Sharing; Rest; Risk; Sensory; Signal Transduction; Solutions; Speed; Syndrome; System; Techniques; Technology; Technology Assessment; Testing; Time; United States National Institutes of Health; Universities; Walking; age group; aging population; clinically significant; cognitive change; cognitive function; community living; coping; cost; disability; frailty; functional decline; functional disability; functional loss; novel; programs; sensor

DESCRIPTION (provided by applicant): Our rapidly aging population will result in an increasing number of people at risk for loss of independence through dementia, frailty and other syndromes of aging. Evolving sensor and other technologies now provide a means of early detection and intervention minimizing morbidity and cost. We hypothesize that integrated, continuous and unobtrusive home monitoring of activity (motor and cognitive) can detect transitional or early signal events important for maintaining cognitive and physical health. To test our hypothesis and to further develop the resulting new clinical paradigm, lead institution Oregon Health & Science University (OHSU) will establish a novel Bioengineering Research Partnership (BRP) including OHSU's Layton Aging and Alzheimer's Disease Center, Biomedical Engineering Department, and Roybal Center, and industry partners Spry Learning, Elite Care, Pultronics, HomeFree, General Electric, Hewlett Packard and Intel. The overall effort will be led by Jeffrey Kaye of the OHSU Layton and Roybal Centers, along with bioengineering Lead Investigators Michael Pavel and Tamara Hayes. Lead Investigator, Eric Dishman from Intel will provide technology industry expertise and integration in concert with leaders from the other partners. This BRP will be dedicated to developing and testing in real world environments unobtrusive intelligent systems for integrating activities and clinical status and ultimately providing the key feedback necessary for instituting appropriate health maintenance, and illness prevention or intervention strategies. Thus our specific aims are to: 1) Determine if continuous, unobtrusive monitoring of motor and cognitive activities detects incident cognitive decline in seniors living in typical community settings; 2) Develop novel algorithms and assessment techniques for detecting motor and cognitive change in these community settings and in the context of the ongoing BRP, to test evolving sensor technology; and 3) Identify the monitoring needs of, and optimal communication channels, for lay individuals and health care professionals. As a result of this research this BRP will: establish a community living laboratory of homes outfitted with integrated sensing systems to determine early cognitive decline and identify the earliest points of cognitive change using this methodology; identify the optimal predictors and data fusion that will result in early detection; establish a fast track system for unobtrusively field-testing new sensor systems while an ongoing longitudinal study is conducted; and create a shared resource of data, expertise and community attitudes about the conduct and application of these continuous assessment techniques for future proactive application in health care.

描述（由申请人提供）：我们的快速老龄化人口将导致越来越多的人因痴呆、虚弱和其他衰老综合征而失去独立性。不断发展的传感器和其他技术现在提供了一种早期检测和干预的手段，最大限度地减少了发病率和成本。我们假设，集成的，连续的和不显眼的活动（运动和认知）的家庭监测可以检测到过渡或早期信号事件，重要的是保持认知和身体健康。为了验证我们的假设并进一步发展由此产生的新的临床模式，牵头机构俄勒冈州健康与科学大学（OHSU）将建立一个新的生物工程研究合作伙伴关系（BRP），包括OHSU的莱顿老龄化和阿尔茨海默病中心，生物医学工程系和Roybal中心，以及行业合作伙伴Spry Learning，Elite Care，Pultrronics，HomeFree，General Electric，Hewlett Packard和Intel。整体工作将由OHSU莱顿和罗伊巴尔中心的杰弗里·凯领导，沿着的还有生物工程首席调查员迈克尔·帕维尔和塔玛拉·海斯。首席研究员，来自英特尔的Eric Dishman将与其他合作伙伴的领导者一起提供技术行业专业知识和集成。该BRP将致力于在真实的世界环境中开发和测试不引人注目的智能系统，以整合活动和临床状态，并最终提供制定适当的健康维护和疾病预防或干预策略所需的关键反馈。因此，我们的具体目标是：1）确定运动和认知活动的连续，不显眼的监测是否检测到生活在典型社区环境中的老年人的认知下降事件; 2）开发新的算法和评估技术，用于检测这些社区环境中的运动和认知变化，并在正在进行的BRP的背景下，测试不断发展的传感器技术;及3）确定非专业人士及医护专业人员的监察需要及最佳沟通渠道。作为这项研究的结果，该BRP将：建立一个配备集成传感系统的家庭社区生活实验室，以确定早期认知能力下降，并使用这种方法确定认知变化的最早点;确定最佳预测因子和数据融合，这将导致早期检测;建立一个快速通道系统，用于在进行持续的纵向研究的同时对新的传感器系统进行不引人注目的现场测试;并就这些持续评估技术的实施和应用建立一个共享的数据、专业知识和社区态度资源，以便将来在医疗保健中积极应用。